{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# 准备工作"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas\n",
    "from requests_html import HTMLSession\n",
    "import json\n",
    "import pandas as pd"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "city = [\n",
    "    {'code': '410', 'name': '全国'},\n",
    "    {'code': '010', 'name': '北京'},\n",
    "    {'code': '020', 'name': '上海'},\n",
    "    {'code': '050020', 'name': '广州'},\n",
    "    {'code': '050090', 'name': '深圳'}]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [],
   "source": [
    "# 准备城市code\n",
    "def choose_city(city_name):\n",
    "    for i in city:\n",
    "        if i['name'] == city_name:\n",
    "            return i['code']"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 准备headers"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [],
   "source": [
    "def headers():\n",
    "    liepin_headers = {\n",
    "        \"Accept\": \"application/json, text/plain, */*\",\n",
    "        \"Accept-Encoding\": \"gzip, deflate, br\",\n",
    "        \"Accept-Language\": \"zh-CN,zh;q=0.9,en;q=0.8,en-US;q=0.7,en-CA;q=0.6\",\n",
    "        \"Connection\": \"keep-alive\",\n",
    "        \"Content-Length\": \"482\",\n",
    "        \"Content-Type\": \"application/json;charset=UTF-8;\",\n",
    "        \"Cookie\": \"inited_user=464b5299797bde79a6aeac4e54e72749; __gc_id=fcb411cd19404d6c8519f9289c795f0a; _ga=GA1.1.737936061.1681902650; __uuid=1681902669648.13; need_bind_tel=false; c_flag=92fc82dab3c60b517e05029c26bb865c; imClientId=b5e1273d5cb093f4b435a5bdfa4014a6; imId=b5e1273d5cb093f407ef590fee2a579a; imClientId_0=b5e1273d5cb093f4b435a5bdfa4014a6; imId_0=b5e1273d5cb093f407ef590fee2a579a; new_user=false; access_system=C; XSRF-TOKEN=WR6vUQM2QK-QgJ1xoWMumA; __tlog=1703127510250.65%7C00000000%7C00000000%7C00000000%7C00000000; acw_tc=276077c317031275113723694e8f031181610e8406eab2e035f042a0d1a998; Hm_lvt_a2647413544f5a04f00da7eee0d5e200=1701342916,1701422246,1703076291,1703127512; UniqueKey=cb5430ca53f7a1c16bc56763ae71c6f2; liepin_login_valid=0; lt_auth=vuhcM3ECnA7%2F5nba2zFbta1O2o%2BsAzrM8S4LgUgC1YW6XqXg4P%2FmQAOHqrEG%2BCoIq08jdvkzMLf%2BNun8znZC6EUQ8VGnlZ6utf6k0HsDUeVgI8W2vezHg%2FXUQp0lnEAA8nJbpEIL%2BVzO; user_roles=0; user_photo=5f8fa3baf6d1ab58476f324908u.png; user_name=%E5%90%B4%E8%8C%B5%E8%8C%B5; inited_user=464b5299797bde79a6aeac4e54e72749; hpo_role-sec_project=sec_project_liepin; hpo_sec_tenant=0; imApp_0=1; Hm_lpvt_a2647413544f5a04f00da7eee0d5e200=1703127593; fe_im_socketSequence_new_0=2_2_2; __session_seq=20; __uv_seq=20; __tlg_event_seq=571; fe_im_opened_pages=; fe_im_connectJson_0=%7B%220_cb5430ca53f7a1c16bc56763ae71c6f2%22%3A%7B%22socketConnect%22%3A%222%22%2C%22connectDomain%22%3A%22liepin.com%22%7D%7D; _ga_54YTJKWN86=GS1.1.1703127511.24.1.1703128842.0.0.0\",\n",
    "        \"Host\": \"api-c.liepin.com\",\n",
    "        \"Origin\": \"https://www.liepin.com\",\n",
    "        \"Referer\": \"https://www.liepin.com/\",\n",
    "        \"Sec-Fetch-Dest\": \"empty\",\n",
    "        \"Sec-Fetch-Mode\": \"cors\",\n",
    "        \"Sec-Fetch-Site\": \"same-site\",\n",
    "        \"User-Agent\": \"Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/120.0.0.0 Safari/537.36\",\n",
    "        \"X-Client-Type\": \"web\",\n",
    "        \"X-Fscp-Bi-Stat\": \"{\\\"location\\\": \\\"https://www.liepin.com/zhaopin/?currentPage=0&pageSize=40&city=050090&dq=050090&pubTime=&key=%E4%BA%A7%E5%93%81%E7%BB%8F%E7%90%86&suggestTag=&otherCity=&industry=&ckId=geq5b0qsi9umzbhn0oojbi2j8v8qu2bb&scene=condition&skId=geq5b0qsi9umzbhn0oojbi2j8v8qu2bb&fkId=geq5b0qsi9umzbhn0oojbi2j8v8qu2bb&sfrom=search_job_pc&suggestId=\\\"}\",\n",
    "        \"X-Fscp-Fe-Version\": \"\",\n",
    "        \"X-Fscp-Std-Info\": \"{\\\"client_id\\\": \\\"40108\\\"}\",\n",
    "        \"X-Fscp-Trace-Id\": \"af6eb714-1bff-40c7-8c8c-20bf44814785\",\n",
    "        \"X-Fscp-Version\": \"1.1\",\n",
    "        \"X-Requested-With\": \"XMLHttpRequest\",\n",
    "        \"X-XSRF-TOKEN\": \"WR6vUQM2QK-QgJ1xoWMumA\"\n",
    "    }\n",
    "\n",
    "    return liepin_headers"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [],
   "source": [
    "url = \"https://api-c.liepin.com/api/com.liepin.searchfront4c.pc-search-job\""
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 准备payload"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [],
   "source": [
    "def payload_liepin(城市,关键词):\n",
    "    payload = {\n",
    "    \"data\": {\n",
    "        \"mainSearchPcConditionForm\": {\n",
    "            \"city\": choose_city(城市),\n",
    "            \"dq\": choose_city(城市),\n",
    "            \"pubTime\": \"\",\n",
    "            \"currentPage\": 0,\n",
    "            \"pageSize\": 40,\n",
    "            \"key\": 关键词,\n",
    "            \"suggestTag\": \"\",\n",
    "            \"workYearCode\": \"\",\n",
    "            \"compId\": \"\",\n",
    "            \"compName\": \"\",\n",
    "            \"compTag\": \"\",\n",
    "            \"industry\": \"\",\n",
    "            \"salary\": \"\",\n",
    "            \"jobKind\": \"\",\n",
    "            \"compScale\": \"\",\n",
    "            \"compKind\": \"\",\n",
    "            \"compStage\": \"\",\n",
    "            \"eduLevel\": \"\"\n",
    "        },\n",
    "        \"passThroughForm\": {\n",
    "            \"scene\": \"input\",\n",
    "            \"skId\": \"\",\n",
    "            \"fkId\": \"\",\n",
    "            \"ckId\": \"h2c8pxojavrmo1w785z7ueih2ybfpux8\",\n",
    "            \"suggest\": None\n",
    "        }\n",
    "    }\n",
    "}\n",
    "    return payload"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 输入对应内容获取求职信息"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "深圳\n"
     ]
    }
   ],
   "source": [
    "城市 = input('')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "文案\n"
     ]
    }
   ],
   "source": [
    "关键词 = input('')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# 请求猎聘网数据"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "{'flag': 1,\n",
       " 'data': {'data': {'jobCardList': [{'comp': {'link': 'https://www.liepin.com/company/12292187/',\n",
       "      'compStage': 'A轮',\n",
       "      'compLogo': '6388530d17377572060c196b08u.png',\n",
       "      'compId': 12292187,\n",
       "      'compName': '盈合机器人',\n",
       "      'compScale': '100-499人',\n",
       "      'compIndustry': '智能硬件'},\n",
       "     'job': {'labels': [],\n",
       "      'title': '产品经理（偏硬件）',\n",
       "      'salary': '25-40k·14薪',\n",
       "      'dataPromId': 'd_sfrom=search_prime&d_ckId=null&d_curPage=0&d_pageSize=40&d_headId=null&d_posi=0&skId=h2c8pxojavrmo1w785z7ueih2ybfpux8&fkId=h2c8pxojavrmo1w785z7ueih2ybfpux8&ckId=h2c8pxojavrmo1w785z7ueih2ybfpux8&sfrom=search_job_pc&curPage=0&pageSize=40&index=0',\n",
       "      'link': 'https://www.liepin.com/job/1963688733.shtml',\n",
       "      'refreshTime': '20231218200558',\n",
       "      'dq': '深圳-福田区',\n",
       "      'jobId': '63688733',\n",
       "      'topJob': True,\n",
       "      'advViewFlag': True,\n",
       "      'jobKind': '2',\n",
       "      'requireWorkYears': '5-10年',\n",
       "      'requireEduLevel': '统招本科',\n",
       "      'pcOuterLink': '',\n",
       "      'h5OuterLink': ''},\n",
       "     'recruiter': {'recruiterPhoto': '5f8f9865ea60860b75384fa508u.jpg',\n",
       "      'recruiterName': '索女士',\n",
       "      'recruiterTitle': '高级招聘顾问',\n",
       "      'imId': '723eacb0a03e67ee160bef405ccde8ba',\n",
       "      'imUserType': '2',\n",
       "      'chatted': False,\n",
       "      'recruiterId': 'f8c472a3baa6f961ef28bd22cce89166'},\n",
       "     'dataInfo': '%7B%22pageSize%22%3A%2240%22%2C%22curPage%22%3A%220%22%2C%22sfrom%22%3A%22search_job_pc%22%2C%22jobId%22%3A%2263688733%22%2C%22ckId%22%3A%22h2c8pxojavrmo1w785z7ueih2ybfpux8%22%2C%22scene%22%3A%22input%22%2C%22skId%22%3A%22h2c8pxojavrmo1w785z7ueih2ybfpux8%22%2C%22fkId%22%3A%22h2c8pxojavrmo1w785z7ueih2ybfpux8%22%2C%22jobKind%22%3A%222%22%2C%22d_curPage%22%3A%220%22%2C%22d_pageSize%22%3A%2240%22%2C%22as_from%22%3A%22search_prime%22%7D',\n",
       "     'dataParams': '{\"recruiterPhoto\":\"5f8f9865ea60860b75384fa508u.jpg\",\"recruiterName\":\"索女士\",\"imId\":\"723eacb0a03e67ee160bef405ccde8ba\",\"imUserType\":\"2\",\"jobId\":\"63688733\",\"userId\":\"f8c472a3baa6f961ef28bd22cce89166\",\"jobKind\":\"2\"}'},\n",
       "    {'comp': {'link': 'https://www.liepin.com/company/13342883/',\n",
       "      'compLogo': '61b07937d0458d53c627567e02u.jpg',\n",
       "      'compId': 13342883,\n",
       "      'compName': '深圳市智创一切科技有限公司',\n",
       "      'compScale': '100-499人',\n",
       "      'compIndustry': '电子商务'},\n",
       "     'job': {'labels': [],\n",
       "      'title': '亚马逊运营',\n",
       "      'salary': '10-15k',\n",
       "      'dataPromId': 'd_sfrom=search_prime&d_ckId=null&d_curPage=0&d_pageSize=40&d_headId=null&d_posi=1&skId=h2c8pxojavrmo1w785z7ueih2ybfpux8&fkId=h2c8pxojavrmo1w785z7ueih2ybfpux8&ckId=h2c8pxojavrmo1w785z7ueih2ybfpux8&sfrom=search_job_pc&curPage=0&pageSize=40&index=1',\n",
       "      'link': 'https://www.liepin.com/job/1963599877.shtml',\n",
       "      'refreshTime': '20231213191439',\n",
       "      'dq': '深圳-龙岗区',\n",
       "      'jobId': '63599877',\n",
       "      'topJob': True,\n",
       "      'advViewFlag': True,\n",
       "      'jobKind': '2',\n",
       "      'requireWorkYears': '1-3年',\n",
       "      'requireEduLevel': '大专',\n",
       "      'pcOuterLink': '',\n",
       "      'h5OuterLink': ''},\n",
       "     'recruiter': {'recruiterPhoto': '5f8f986779c7cc70efbf36c008u.jpg',\n",
       "      'recruiterName': '陈女士',\n",
       "      'recruiterTitle': '高级招聘专员',\n",
       "      'imId': '67a7d92265cbd918361cc4c1c85cc0f8',\n",
       "      'imUserType': '2',\n",
       "      'chatted': False,\n",
       "      'recruiterId': '7a261c369cce7186ea75fcada03718f9'},\n",
       "     'dataInfo': '%7B%22pageSize%22%3A%2240%22%2C%22curPage%22%3A%220%22%2C%22sfrom%22%3A%22search_job_pc%22%2C%22jobId%22%3A%2263599877%22%2C%22ckId%22%3A%22h2c8pxojavrmo1w785z7ueih2ybfpux8%22%2C%22scene%22%3A%22input%22%2C%22skId%22%3A%22h2c8pxojavrmo1w785z7ueih2ybfpux8%22%2C%22fkId%22%3A%22h2c8pxojavrmo1w785z7ueih2ybfpux8%22%2C%22jobKind%22%3A%222%22%2C%22d_curPage%22%3A%220%22%2C%22d_pageSize%22%3A%2240%22%2C%22as_from%22%3A%22search_prime%22%7D',\n",
       "     'dataParams': '{\"recruiterPhoto\":\"5f8f986779c7cc70efbf36c008u.jpg\",\"recruiterName\":\"陈女士\",\"imId\":\"67a7d92265cbd918361cc4c1c85cc0f8\",\"imUserType\":\"2\",\"jobId\":\"63599877\",\"userId\":\"7a261c369cce7186ea75fcada03718f9\",\"jobKind\":\"2\"}'},\n",
       "    {'comp': {'link': 'https://www.liepin.com/company/1578876/',\n",
       "      'compLogo': '54d1e9d2712eb4f6b84d141401a.png',\n",
       "      'compId': 1578876,\n",
       "      'compName': '友邦人寿保险有限公司深圳分公司',\n",
       "      'compScale': '100-499人',\n",
       "      'compIndustry': '保险'},\n",
       "     'job': {'labels': ['客户管理', '客户服务', '保险行业', '会员/VIP管理'],\n",
       "      'title': '团险部大客户客服主管',\n",
       "      'salary': '15-20k·15薪',\n",
       "      'dataPromId': 'd_sfrom=search_prime&d_ckId=null&d_curPage=0&d_pageSize=40&d_headId=null&d_posi=2&skId=h2c8pxojavrmo1w785z7ueih2ybfpux8&fkId=h2c8pxojavrmo1w785z7ueih2ybfpux8&ckId=h2c8pxojavrmo1w785z7ueih2ybfpux8&sfrom=search_job_pc&curPage=0&pageSize=40&index=2',\n",
       "      'link': 'https://www.liepin.com/job/1962194009.shtml',\n",
       "      'refreshTime': '20231220091117',\n",
       "      'dq': '深圳-罗湖区',\n",
       "      'jobId': '62194009',\n",
       "      'topJob': True,\n",
       "      'advViewFlag': True,\n",
       "      'jobKind': '2',\n",
       "      'requireWorkYears': '5-10年',\n",
       "      'requireEduLevel': '统招本科',\n",
       "      'pcOuterLink': '',\n",
       "      'h5OuterLink': ''},\n",
       "     'recruiter': {'recruiterPhoto': '554970df28eefc6d7ed15ad001a.jpg',\n",
       "      'recruiterName': '李女士',\n",
       "      'recruiterTitle': 'HRBP',\n",
       "      'imId': '59daa5361b85b936b74cd2e3b8b7dbf6',\n",
       "      'imUserType': '2',\n",
       "      'chatted': False,\n",
       "      'recruiterId': 'e1885ff489881b42e52ab82ff3a0342f'},\n",
       "     'dataInfo': '%7B%22pageSize%22%3A%2240%22%2C%22curPage%22%3A%220%22%2C%22sfrom%22%3A%22search_job_pc%22%2C%22jobId%22%3A%2262194009%22%2C%22ckId%22%3A%22h2c8pxojavrmo1w785z7ueih2ybfpux8%22%2C%22scene%22%3A%22input%22%2C%22skId%22%3A%22h2c8pxojavrmo1w785z7ueih2ybfpux8%22%2C%22fkId%22%3A%22h2c8pxojavrmo1w785z7ueih2ybfpux8%22%2C%22jobKind%22%3A%222%22%2C%22d_curPage%22%3A%220%22%2C%22d_pageSize%22%3A%2240%22%2C%22as_from%22%3A%22search_prime%22%7D',\n",
       "     'dataParams': '{\"recruiterPhoto\":\"554970df28eefc6d7ed15ad001a.jpg\",\"recruiterName\":\"李女士\",\"imId\":\"59daa5361b85b936b74cd2e3b8b7dbf6\",\"imUserType\":\"2\",\"jobId\":\"62194009\",\"userId\":\"e1885ff489881b42e52ab82ff3a0342f\",\"jobKind\":\"2\"}'},\n",
       "    {'comp': {'link': 'https://www.liepin.com/company/9681568/',\n",
       "      'compStage': 'D轮',\n",
       "      'compLogo': '601d66cb00e91f04c68d1f1c05u.png',\n",
       "      'compId': 9681568,\n",
       "      'compName': '深圳硅基仿生科技股份有限公司',\n",
       "      'compScale': '500-999人',\n",
       "      'compIndustry': '医疗器械'},\n",
       "     'job': {'labels': ['文案策划',\n",
       "       '自媒体策划',\n",
       "       '短视频策划',\n",
       "       '品牌策划',\n",
       "       '营销策划',\n",
       "       '海外媒介',\n",
       "       '甲方公司背景',\n",
       "       '营销活动',\n",
       "       'to C',\n",
       "       '制药/医疗'],\n",
       "      'title': '海外市场文案策划(J10251)',\n",
       "      'salary': '16-25k',\n",
       "      'dataPromId': 'd_sfrom=search_prime&d_ckId=null&d_curPage=0&d_pageSize=40&d_headId=null&d_posi=3&skId=h2c8pxojavrmo1w785z7ueih2ybfpux8&fkId=h2c8pxojavrmo1w785z7ueih2ybfpux8&ckId=h2c8pxojavrmo1w785z7ueih2ybfpux8&sfrom=search_job_pc&curPage=0&pageSize=40&index=3',\n",
       "      'link': 'https://www.liepin.com/job/1960903339.shtml',\n",
       "      'refreshTime': '20231007175436',\n",
       "      'dq': '深圳-宝安区',\n",
       "      'jobId': '60903339',\n",
       "      'topJob': False,\n",
       "      'advViewFlag': False,\n",
       "      'jobKind': '2',\n",
       "      'requireWorkYears': '5-10年',\n",
       "      'requireEduLevel': '本科',\n",
       "      'pcOuterLink': '',\n",
       "      'h5OuterLink': ''},\n",
       "     'recruiter': {'recruiterPhoto': '5f8f9866dfb13a7dee342f1808u.jpg',\n",
       "      'recruiterName': '蒋女士',\n",
       "      'recruiterTitle': 'HRBP',\n",
       "      'imId': '668c412c7c94e3e4befa578784e31c32',\n",
       "      'imUserType': '2',\n",
       "      'chatted': False,\n",
       "      'recruiterId': '3b46127d6ee1925a2aa4bed58588776d'},\n",
       "     'dataInfo': '%7B%22pageSize%22%3A%2240%22%2C%22curPage%22%3A%220%22%2C%22sfrom%22%3A%22search_job_pc%22%2C%22jobId%22%3A%2260903339%22%2C%22ckId%22%3A%22h2c8pxojavrmo1w785z7ueih2ybfpux8%22%2C%22scene%22%3A%22input%22%2C%22skId%22%3A%22h2c8pxojavrmo1w785z7ueih2ybfpux8%22%2C%22fkId%22%3A%22h2c8pxojavrmo1w785z7ueih2ybfpux8%22%2C%22jobKind%22%3A%222%22%2C%22d_curPage%22%3A%220%22%2C%22d_pageSize%22%3A%2240%22%2C%22as_from%22%3A%22search_prime%22%7D',\n",
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       "      'chatted': False,\n",
       "      'recruiterId': '163fb2c3452ff8140b21b59d7f6dc377'},\n",
       "     'dataInfo': '%7B%22pageSize%22%3A%2240%22%2C%22curPage%22%3A%220%22%2C%22sfrom%22%3A%22search_job_pc%22%2C%22jobId%22%3A%2238555741%22%2C%22ckId%22%3A%22h2c8pxojavrmo1w785z7ueih2ybfpux8%22%2C%22scene%22%3A%22input%22%2C%22skId%22%3A%22h2c8pxojavrmo1w785z7ueih2ybfpux8%22%2C%22fkId%22%3A%22h2c8pxojavrmo1w785z7ueih2ybfpux8%22%2C%22jobKind%22%3A%222%22%2C%22d_curPage%22%3A%220%22%2C%22d_pageSize%22%3A%2240%22%2C%22as_from%22%3A%22search_prime%22%7D',\n",
       "     'dataParams': '{\"recruiterPhoto\":\"5f8f9868f6d1ab58476f24a008u.jpg\",\"recruiterName\":\"曹先生\",\"imId\":\"1b743580381b19ec6bc971ec2e264ed1\",\"imUserType\":\"2\",\"jobId\":\"38555741\",\"userId\":\"163fb2c3452ff8140b21b59d7f6dc377\",\"jobKind\":\"2\"}'},\n",
       "    {'comp': {'link': 'https://www.liepin.com/company/12690441/',\n",
       "      'compStage': '融资未公开',\n",
       "      'compLogo': '61b07937d0458d53c627567e02u.jpg',\n",
       "      'compId': 12690441,\n",
       "      'compName': '深圳奥通顺达商贸有限公司',\n",
       "      'compScale': '50-99人',\n",
       "      'compIndustry': '日化'},\n",
       "     'job': {'labels': ['品牌文案', '新媒体文案', '渠道推广', '电商文案', '软文撰写'],\n",
       "      'title': '文案策划',\n",
       "      'salary': '7-12k',\n",
       "      'dataPromId': 'd_sfrom=search_prime&d_ckId=null&d_curPage=0&d_pageSize=40&d_headId=null&d_posi=38&skId=h2c8pxojavrmo1w785z7ueih2ybfpux8&fkId=h2c8pxojavrmo1w785z7ueih2ybfpux8&ckId=h2c8pxojavrmo1w785z7ueih2ybfpux8&sfrom=search_job_pc&curPage=0&pageSize=40&index=38',\n",
       "      'link': 'https://www.liepin.com/job/1938270559.shtml',\n",
       "      'refreshTime': '20210930214831',\n",
       "      'dq': '深圳',\n",
       "      'jobId': '38270559',\n",
       "      'topJob': False,\n",
       "      'advViewFlag': False,\n",
       "      'jobKind': '2',\n",
       "      'requireWorkYears': '1-3年',\n",
       "      'requireEduLevel': '大专',\n",
       "      'pcOuterLink': '',\n",
       "      'h5OuterLink': ''},\n",
       "     'recruiter': {'recruiterPhoto': '5f8f98648dbe6273dcf8515508u.jpg',\n",
       "      'recruiterName': '姚女士',\n",
       "      'recruiterTitle': '人事经理',\n",
       "      'imId': '866dd58e2ee041f98b0ca3877d009dea',\n",
       "      'imUserType': '2',\n",
       "      'chatted': False,\n",
       "      'recruiterId': '7958f12054cb3cd2697b6d00940283eb'},\n",
       "     'dataInfo': '%7B%22pageSize%22%3A%2240%22%2C%22curPage%22%3A%220%22%2C%22sfrom%22%3A%22search_job_pc%22%2C%22jobId%22%3A%2238270559%22%2C%22ckId%22%3A%22h2c8pxojavrmo1w785z7ueih2ybfpux8%22%2C%22scene%22%3A%22input%22%2C%22skId%22%3A%22h2c8pxojavrmo1w785z7ueih2ybfpux8%22%2C%22fkId%22%3A%22h2c8pxojavrmo1w785z7ueih2ybfpux8%22%2C%22jobKind%22%3A%222%22%2C%22d_curPage%22%3A%220%22%2C%22d_pageSize%22%3A%2240%22%2C%22as_from%22%3A%22search_prime%22%7D',\n",
       "     'dataParams': '{\"recruiterPhoto\":\"5f8f98648dbe6273dcf8515508u.jpg\",\"recruiterName\":\"姚女士\",\"imId\":\"866dd58e2ee041f98b0ca3877d009dea\",\"imUserType\":\"2\",\"jobId\":\"38270559\",\"userId\":\"7958f12054cb3cd2697b6d00940283eb\",\"jobKind\":\"2\"}'},\n",
       "    {'comp': {'link': 'https://www.liepin.com/company/12687567/',\n",
       "      'compLogo': '61b07937d0458d53c627567e02u.jpg',\n",
       "      'compId': 12687567,\n",
       "      'compName': '深圳楚奥传媒有限公司',\n",
       "      'compScale': '1-49人',\n",
       "      'compIndustry': '在线社交/媒体'},\n",
       "     'job': {'labels': ['文案创作', '文案编辑', '编剧', '剪辑'],\n",
       "      'title': '文案编辑',\n",
       "      'salary': '6-12k',\n",
       "      'dataPromId': 'd_sfrom=search_prime&d_ckId=null&d_curPage=0&d_pageSize=40&d_headId=null&d_posi=39&skId=h2c8pxojavrmo1w785z7ueih2ybfpux8&fkId=h2c8pxojavrmo1w785z7ueih2ybfpux8&ckId=h2c8pxojavrmo1w785z7ueih2ybfpux8&sfrom=search_job_pc&curPage=0&pageSize=40&index=39',\n",
       "      'link': 'https://www.liepin.com/job/1938071781.shtml',\n",
       "      'refreshTime': '20210412204602',\n",
       "      'dq': '深圳-龙岗区',\n",
       "      'jobId': '38071781',\n",
       "      'topJob': False,\n",
       "      'advViewFlag': False,\n",
       "      'jobKind': '2',\n",
       "      'requireWorkYears': '经验不限',\n",
       "      'requireEduLevel': '学历不限',\n",
       "      'pcOuterLink': '',\n",
       "      'h5OuterLink': ''},\n",
       "     'recruiter': {'recruiterPhoto': '5f8f98698dbe6273dcf8516008u.jpg',\n",
       "      'recruiterName': '彭先生',\n",
       "      'recruiterTitle': '经理',\n",
       "      'imId': '4d2eaf8cc6ced9f8e37b0b202b2adc1c',\n",
       "      'imUserType': '2',\n",
       "      'chatted': False,\n",
       "      'recruiterId': 'f522f343ecfaa02f74113097968b894a'},\n",
       "     'dataInfo': '%7B%22pageSize%22%3A%2240%22%2C%22curPage%22%3A%220%22%2C%22sfrom%22%3A%22search_job_pc%22%2C%22jobId%22%3A%2238071781%22%2C%22ckId%22%3A%22h2c8pxojavrmo1w785z7ueih2ybfpux8%22%2C%22scene%22%3A%22input%22%2C%22skId%22%3A%22h2c8pxojavrmo1w785z7ueih2ybfpux8%22%2C%22fkId%22%3A%22h2c8pxojavrmo1w785z7ueih2ybfpux8%22%2C%22jobKind%22%3A%222%22%2C%22d_curPage%22%3A%220%22%2C%22d_pageSize%22%3A%2240%22%2C%22as_from%22%3A%22search_prime%22%7D',\n",
       "     'dataParams': '{\"recruiterPhoto\":\"5f8f98698dbe6273dcf8516008u.jpg\",\"recruiterName\":\"彭先生\",\"imId\":\"4d2eaf8cc6ced9f8e37b0b202b2adc1c\",\"imUserType\":\"2\",\"jobId\":\"38071781\",\"userId\":\"f522f343ecfaa02f74113097968b894a\",\"jobKind\":\"2\"}'}],\n",
       "   'jobSubscribeInfo': {'keyword': '文案',\n",
       "    'dqCode': '050090',\n",
       "    'dqName': '深圳',\n",
       "    'qrUrl': 'https://mp.weixin.qq.com/cgi-bin/showqrcode?ticket=gQHA8DwAAAAAAAAAAS5odHRwOi8vd2VpeGluLnFxLmNvbS9xLzAyUEc3ZTF1Rm9jdWoxRXh0YTFCY1QAAgShYoFlAwSAOgkA',\n",
       "    'id': 'cb748a628f6d3684a43ddef66c53f138'},\n",
       "   'compList': []},\n",
       "  'passThroughData': {'sfrom': 'search_job_pc',\n",
       "   'ckId': 'h2c8pxojavrmo1w785z7ueih2ybfpux8',\n",
       "   'scene': 'input',\n",
       "   'skId': 'h2c8pxojavrmo1w785z7ueih2ybfpux8',\n",
       "   'fkId': 'h2c8pxojavrmo1w785z7ueih2ybfpux8'},\n",
       "  'pagination': {'totalPage': 10,\n",
       "   'pageSize': 40,\n",
       "   'currentPage': 0,\n",
       "   'totalCounts': 807,\n",
       "   'hasNext': False}}}"
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "import time\n",
    "import random\n",
    "wait_time = random.randint(0,10)\n",
    "\n",
    "payload = payload_liepin(str(城市),str(关键词))\n",
    "session = HTMLSession()\n",
    "r = session.post(url, data=json.dumps(payload), headers=headers())\n",
    "\n",
    "response_data = r.json()\n",
    "response_data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "10"
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "page = response_data['data']['pagination']['totalPage']\n",
    "page"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 翻页获取内容"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "import requests\n",
    "import time\n",
    "\n",
    "response_df = []\n",
    "wait_time = 1  \n",
    "\n",
    "for i in range(20):\n",
    "    payload['data']['mainSearchPcConditionForm']['currentPage'] = i\n",
    "    df = pd.json_normalize(response_data['data']['data']['jobCardList'])\n",
    "    response_df.append(df)\n",
    "    time.sleep(wait_time)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>dataInfo</th>\n",
       "      <th>dataParams</th>\n",
       "      <th>comp.link</th>\n",
       "      <th>comp.compStage</th>\n",
       "      <th>comp.compLogo</th>\n",
       "      <th>comp.compId</th>\n",
       "      <th>comp.compName</th>\n",
       "      <th>comp.compScale</th>\n",
       "      <th>comp.compIndustry</th>\n",
       "      <th>job.labels</th>\n",
       "      <th>...</th>\n",
       "      <th>job.pcOuterLink</th>\n",
       "      <th>job.h5OuterLink</th>\n",
       "      <th>recruiter.recruiterPhoto</th>\n",
       "      <th>recruiter.recruiterName</th>\n",
       "      <th>recruiter.recruiterTitle</th>\n",
       "      <th>recruiter.imId</th>\n",
       "      <th>recruiter.imUserType</th>\n",
       "      <th>recruiter.chatted</th>\n",
       "      <th>recruiter.recruiterId</th>\n",
       "      <th>job.campusJobKind</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>%7B%22pageSize%22%3A%2240%22%2C%22curPage%22%3...</td>\n",
       "      <td>{\"recruiterPhoto\":\"5f8f9865ea60860b75384fa508u...</td>\n",
       "      <td>https://www.liepin.com/company/12292187/</td>\n",
       "      <td>A轮</td>\n",
       "      <td>6388530d17377572060c196b08u.png</td>\n",
       "      <td>12292187</td>\n",
       "      <td>盈合机器人</td>\n",
       "      <td>100-499人</td>\n",
       "      <td>智能硬件</td>\n",
       "      <td>[]</td>\n",
       "      <td>...</td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td>5f8f9865ea60860b75384fa508u.jpg</td>\n",
       "      <td>索女士</td>\n",
       "      <td>高级招聘顾问</td>\n",
       "      <td>723eacb0a03e67ee160bef405ccde8ba</td>\n",
       "      <td>2</td>\n",
       "      <td>False</td>\n",
       "      <td>f8c472a3baa6f961ef28bd22cce89166</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>%7B%22pageSize%22%3A%2240%22%2C%22curPage%22%3...</td>\n",
       "      <td>{\"recruiterPhoto\":\"5f8f986779c7cc70efbf36c008u...</td>\n",
       "      <td>https://www.liepin.com/company/13342883/</td>\n",
       "      <td>NaN</td>\n",
       "      <td>61b07937d0458d53c627567e02u.jpg</td>\n",
       "      <td>13342883</td>\n",
       "      <td>深圳市智创一切科技有限公司</td>\n",
       "      <td>100-499人</td>\n",
       "      <td>电子商务</td>\n",
       "      <td>[]</td>\n",
       "      <td>...</td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td>5f8f986779c7cc70efbf36c008u.jpg</td>\n",
       "      <td>陈女士</td>\n",
       "      <td>高级招聘专员</td>\n",
       "      <td>67a7d92265cbd918361cc4c1c85cc0f8</td>\n",
       "      <td>2</td>\n",
       "      <td>False</td>\n",
       "      <td>7a261c369cce7186ea75fcada03718f9</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>%7B%22pageSize%22%3A%2240%22%2C%22curPage%22%3...</td>\n",
       "      <td>{\"recruiterPhoto\":\"554970df28eefc6d7ed15ad001a...</td>\n",
       "      <td>https://www.liepin.com/company/1578876/</td>\n",
       "      <td>NaN</td>\n",
       "      <td>54d1e9d2712eb4f6b84d141401a.png</td>\n",
       "      <td>1578876</td>\n",
       "      <td>友邦人寿保险有限公司深圳分公司</td>\n",
       "      <td>100-499人</td>\n",
       "      <td>保险</td>\n",
       "      <td>[客户管理, 客户服务, 保险行业, 会员/VIP管理]</td>\n",
       "      <td>...</td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td>554970df28eefc6d7ed15ad001a.jpg</td>\n",
       "      <td>李女士</td>\n",
       "      <td>HRBP</td>\n",
       "      <td>59daa5361b85b936b74cd2e3b8b7dbf6</td>\n",
       "      <td>2</td>\n",
       "      <td>False</td>\n",
       "      <td>e1885ff489881b42e52ab82ff3a0342f</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>%7B%22pageSize%22%3A%2240%22%2C%22curPage%22%3...</td>\n",
       "      <td>{\"recruiterPhoto\":\"5f8f9866dfb13a7dee342f1808u...</td>\n",
       "      <td>https://www.liepin.com/company/9681568/</td>\n",
       "      <td>D轮</td>\n",
       "      <td>601d66cb00e91f04c68d1f1c05u.png</td>\n",
       "      <td>9681568</td>\n",
       "      <td>深圳硅基仿生科技股份有限公司</td>\n",
       "      <td>500-999人</td>\n",
       "      <td>医疗器械</td>\n",
       "      <td>[文案策划, 自媒体策划, 短视频策划, 品牌策划, 营销策划, 海外媒介, 甲方公司背景,...</td>\n",
       "      <td>...</td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td>5f8f9866dfb13a7dee342f1808u.jpg</td>\n",
       "      <td>蒋女士</td>\n",
       "      <td>HRBP</td>\n",
       "      <td>668c412c7c94e3e4befa578784e31c32</td>\n",
       "      <td>2</td>\n",
       "      <td>False</td>\n",
       "      <td>3b46127d6ee1925a2aa4bed58588776d</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>%7B%22pageSize%22%3A%2240%22%2C%22curPage%22%3...</td>\n",
       "      <td>{\"recruiterPhoto\":\"6567096ef389f94aa14ffb2005u...</td>\n",
       "      <td>https://www.liepin.com/company/13037571/</td>\n",
       "      <td>融资未公开</td>\n",
       "      <td>61b07937d0458d53c627567e02u.jpg</td>\n",
       "      <td>13037571</td>\n",
       "      <td>深圳追求卓越企业管理顾问服务有限公司</td>\n",
       "      <td>500-999人</td>\n",
       "      <td>咨询服务</td>\n",
       "      <td>[]</td>\n",
       "      <td>...</td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td>6567096ef389f94aa14ffb2005u.jpg</td>\n",
       "      <td>谢女士</td>\n",
       "      <td>hr总监</td>\n",
       "      <td>6cf2a187f5b86d763cf0acd5c06eb661</td>\n",
       "      <td>2</td>\n",
       "      <td>False</td>\n",
       "      <td>1536a036e8b44e1b189053b2c664f1c0</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>35</th>\n",
       "      <td>%7B%22pageSize%22%3A%2240%22%2C%22curPage%22%3...</td>\n",
       "      <td>{\"recruiterPhoto\":\"5f8f9866dfb13a7dee342f1808u...</td>\n",
       "      <td>https://www.liepin.com/company/7866910/</td>\n",
       "      <td>NaN</td>\n",
       "      <td>5bfe90ce74719d35745ab52703a.png</td>\n",
       "      <td>7866910</td>\n",
       "      <td>深圳市百森鞋业有限公司</td>\n",
       "      <td>2000-5000人</td>\n",
       "      <td>服装/纺织/皮革</td>\n",
       "      <td>[文案策划, 公众号, 新媒体策划, 品牌策划, 企业策划, 甲方公司背景, 批发/零售]</td>\n",
       "      <td>...</td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td>5f8f9866dfb13a7dee342f1808u.jpg</td>\n",
       "      <td>方女士</td>\n",
       "      <td></td>\n",
       "      <td>a052f227f3b00bddac365a663ca833da</td>\n",
       "      <td>2</td>\n",
       "      <td>False</td>\n",
       "      <td>9ba51e75dfbefd7fe2099a38703f5ef9</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>36</th>\n",
       "      <td>%7B%22pageSize%22%3A%2240%22%2C%22curPage%22%3...</td>\n",
       "      <td>{\"recruiterPhoto\":\"5f8f98698dbe6273dcf8516008u...</td>\n",
       "      <td>https://www.liepin.com/company/12260019/</td>\n",
       "      <td>天使轮</td>\n",
       "      <td>61b07937d0458d53c627567e02u.jpg</td>\n",
       "      <td>12260019</td>\n",
       "      <td>般诺智能(深圳)有限公司</td>\n",
       "      <td>100-499人</td>\n",
       "      <td>智能硬件</td>\n",
       "      <td>[品牌文案, 广告文案, 新媒体文案, 视频文案, 软文撰写, 电商文案, 公关文案, 活动文案]</td>\n",
       "      <td>...</td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td>5f8f98698dbe6273dcf8516008u.jpg</td>\n",
       "      <td>孙先生</td>\n",
       "      <td>运营经理</td>\n",
       "      <td>a1b4c5ce52746759c307fe6e334c0c05</td>\n",
       "      <td>2</td>\n",
       "      <td>False</td>\n",
       "      <td>3c56ed8d8a014e8df6a0ccd61c4967b7</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>37</th>\n",
       "      <td>%7B%22pageSize%22%3A%2240%22%2C%22curPage%22%3...</td>\n",
       "      <td>{\"recruiterPhoto\":\"5f8f9868f6d1ab58476f24a008u...</td>\n",
       "      <td>https://www.liepin.com/company/12711951/</td>\n",
       "      <td>NaN</td>\n",
       "      <td>61b07937d0458d53c627567e02u.jpg</td>\n",
       "      <td>12711951</td>\n",
       "      <td>深圳市鲁鹏木易电子商务有限公司</td>\n",
       "      <td>1-49人</td>\n",
       "      <td>电子商务</td>\n",
       "      <td>[品牌文案, 文案撰写, 文案编辑, 方案编写]</td>\n",
       "      <td>...</td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td>5f8f9868f6d1ab58476f24a008u.jpg</td>\n",
       "      <td>曹先生</td>\n",
       "      <td>职员</td>\n",
       "      <td>1b743580381b19ec6bc971ec2e264ed1</td>\n",
       "      <td>2</td>\n",
       "      <td>False</td>\n",
       "      <td>163fb2c3452ff8140b21b59d7f6dc377</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>38</th>\n",
       "      <td>%7B%22pageSize%22%3A%2240%22%2C%22curPage%22%3...</td>\n",
       "      <td>{\"recruiterPhoto\":\"5f8f98648dbe6273dcf8515508u...</td>\n",
       "      <td>https://www.liepin.com/company/12690441/</td>\n",
       "      <td>融资未公开</td>\n",
       "      <td>61b07937d0458d53c627567e02u.jpg</td>\n",
       "      <td>12690441</td>\n",
       "      <td>深圳奥通顺达商贸有限公司</td>\n",
       "      <td>50-99人</td>\n",
       "      <td>日化</td>\n",
       "      <td>[品牌文案, 新媒体文案, 渠道推广, 电商文案, 软文撰写]</td>\n",
       "      <td>...</td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td>5f8f98648dbe6273dcf8515508u.jpg</td>\n",
       "      <td>姚女士</td>\n",
       "      <td>人事经理</td>\n",
       "      <td>866dd58e2ee041f98b0ca3877d009dea</td>\n",
       "      <td>2</td>\n",
       "      <td>False</td>\n",
       "      <td>7958f12054cb3cd2697b6d00940283eb</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>39</th>\n",
       "      <td>%7B%22pageSize%22%3A%2240%22%2C%22curPage%22%3...</td>\n",
       "      <td>{\"recruiterPhoto\":\"5f8f98698dbe6273dcf8516008u...</td>\n",
       "      <td>https://www.liepin.com/company/12687567/</td>\n",
       "      <td>NaN</td>\n",
       "      <td>61b07937d0458d53c627567e02u.jpg</td>\n",
       "      <td>12687567</td>\n",
       "      <td>深圳楚奥传媒有限公司</td>\n",
       "      <td>1-49人</td>\n",
       "      <td>在线社交/媒体</td>\n",
       "      <td>[文案创作, 文案编辑, 编剧, 剪辑]</td>\n",
       "      <td>...</td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td>5f8f98698dbe6273dcf8516008u.jpg</td>\n",
       "      <td>彭先生</td>\n",
       "      <td>经理</td>\n",
       "      <td>4d2eaf8cc6ced9f8e37b0b202b2adc1c</td>\n",
       "      <td>2</td>\n",
       "      <td>False</td>\n",
       "      <td>f522f343ecfaa02f74113097968b894a</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>800 rows × 32 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                                             dataInfo  \\\n",
       "0   %7B%22pageSize%22%3A%2240%22%2C%22curPage%22%3...   \n",
       "1   %7B%22pageSize%22%3A%2240%22%2C%22curPage%22%3...   \n",
       "2   %7B%22pageSize%22%3A%2240%22%2C%22curPage%22%3...   \n",
       "3   %7B%22pageSize%22%3A%2240%22%2C%22curPage%22%3...   \n",
       "4   %7B%22pageSize%22%3A%2240%22%2C%22curPage%22%3...   \n",
       "..                                                ...   \n",
       "35  %7B%22pageSize%22%3A%2240%22%2C%22curPage%22%3...   \n",
       "36  %7B%22pageSize%22%3A%2240%22%2C%22curPage%22%3...   \n",
       "37  %7B%22pageSize%22%3A%2240%22%2C%22curPage%22%3...   \n",
       "38  %7B%22pageSize%22%3A%2240%22%2C%22curPage%22%3...   \n",
       "39  %7B%22pageSize%22%3A%2240%22%2C%22curPage%22%3...   \n",
       "\n",
       "                                           dataParams  \\\n",
       "0   {\"recruiterPhoto\":\"5f8f9865ea60860b75384fa508u...   \n",
       "1   {\"recruiterPhoto\":\"5f8f986779c7cc70efbf36c008u...   \n",
       "2   {\"recruiterPhoto\":\"554970df28eefc6d7ed15ad001a...   \n",
       "3   {\"recruiterPhoto\":\"5f8f9866dfb13a7dee342f1808u...   \n",
       "4   {\"recruiterPhoto\":\"6567096ef389f94aa14ffb2005u...   \n",
       "..                                                ...   \n",
       "35  {\"recruiterPhoto\":\"5f8f9866dfb13a7dee342f1808u...   \n",
       "36  {\"recruiterPhoto\":\"5f8f98698dbe6273dcf8516008u...   \n",
       "37  {\"recruiterPhoto\":\"5f8f9868f6d1ab58476f24a008u...   \n",
       "38  {\"recruiterPhoto\":\"5f8f98648dbe6273dcf8515508u...   \n",
       "39  {\"recruiterPhoto\":\"5f8f98698dbe6273dcf8516008u...   \n",
       "\n",
       "                                   comp.link comp.compStage  \\\n",
       "0   https://www.liepin.com/company/12292187/             A轮   \n",
       "1   https://www.liepin.com/company/13342883/            NaN   \n",
       "2    https://www.liepin.com/company/1578876/            NaN   \n",
       "3    https://www.liepin.com/company/9681568/             D轮   \n",
       "4   https://www.liepin.com/company/13037571/          融资未公开   \n",
       "..                                       ...            ...   \n",
       "35   https://www.liepin.com/company/7866910/            NaN   \n",
       "36  https://www.liepin.com/company/12260019/            天使轮   \n",
       "37  https://www.liepin.com/company/12711951/            NaN   \n",
       "38  https://www.liepin.com/company/12690441/          融资未公开   \n",
       "39  https://www.liepin.com/company/12687567/            NaN   \n",
       "\n",
       "                      comp.compLogo  comp.compId       comp.compName  \\\n",
       "0   6388530d17377572060c196b08u.png     12292187               盈合机器人   \n",
       "1   61b07937d0458d53c627567e02u.jpg     13342883       深圳市智创一切科技有限公司   \n",
       "2   54d1e9d2712eb4f6b84d141401a.png      1578876     友邦人寿保险有限公司深圳分公司   \n",
       "3   601d66cb00e91f04c68d1f1c05u.png      9681568      深圳硅基仿生科技股份有限公司   \n",
       "4   61b07937d0458d53c627567e02u.jpg     13037571  深圳追求卓越企业管理顾问服务有限公司   \n",
       "..                              ...          ...                 ...   \n",
       "35  5bfe90ce74719d35745ab52703a.png      7866910         深圳市百森鞋业有限公司   \n",
       "36  61b07937d0458d53c627567e02u.jpg     12260019        般诺智能(深圳)有限公司   \n",
       "37  61b07937d0458d53c627567e02u.jpg     12711951     深圳市鲁鹏木易电子商务有限公司   \n",
       "38  61b07937d0458d53c627567e02u.jpg     12690441        深圳奥通顺达商贸有限公司   \n",
       "39  61b07937d0458d53c627567e02u.jpg     12687567          深圳楚奥传媒有限公司   \n",
       "\n",
       "   comp.compScale comp.compIndustry  \\\n",
       "0        100-499人              智能硬件   \n",
       "1        100-499人              电子商务   \n",
       "2        100-499人                保险   \n",
       "3        500-999人              医疗器械   \n",
       "4        500-999人              咨询服务   \n",
       "..            ...               ...   \n",
       "35     2000-5000人          服装/纺织/皮革   \n",
       "36       100-499人              智能硬件   \n",
       "37          1-49人              电子商务   \n",
       "38         50-99人                日化   \n",
       "39          1-49人           在线社交/媒体   \n",
       "\n",
       "                                           job.labels  ... job.pcOuterLink  \\\n",
       "0                                                  []  ...                   \n",
       "1                                                  []  ...                   \n",
       "2                        [客户管理, 客户服务, 保险行业, 会员/VIP管理]  ...                   \n",
       "3   [文案策划, 自媒体策划, 短视频策划, 品牌策划, 营销策划, 海外媒介, 甲方公司背景,...  ...                   \n",
       "4                                                  []  ...                   \n",
       "..                                                ...  ...             ...   \n",
       "35      [文案策划, 公众号, 新媒体策划, 品牌策划, 企业策划, 甲方公司背景, 批发/零售]  ...                   \n",
       "36  [品牌文案, 广告文案, 新媒体文案, 视频文案, 软文撰写, 电商文案, 公关文案, 活动文案]  ...                   \n",
       "37                           [品牌文案, 文案撰写, 文案编辑, 方案编写]  ...                   \n",
       "38                    [品牌文案, 新媒体文案, 渠道推广, 电商文案, 软文撰写]  ...                   \n",
       "39                               [文案创作, 文案编辑, 编剧, 剪辑]  ...                   \n",
       "\n",
       "   job.h5OuterLink         recruiter.recruiterPhoto recruiter.recruiterName  \\\n",
       "0                   5f8f9865ea60860b75384fa508u.jpg                     索女士   \n",
       "1                   5f8f986779c7cc70efbf36c008u.jpg                     陈女士   \n",
       "2                   554970df28eefc6d7ed15ad001a.jpg                     李女士   \n",
       "3                   5f8f9866dfb13a7dee342f1808u.jpg                     蒋女士   \n",
       "4                   6567096ef389f94aa14ffb2005u.jpg                     谢女士   \n",
       "..             ...                              ...                     ...   \n",
       "35                  5f8f9866dfb13a7dee342f1808u.jpg                     方女士   \n",
       "36                  5f8f98698dbe6273dcf8516008u.jpg                     孙先生   \n",
       "37                  5f8f9868f6d1ab58476f24a008u.jpg                     曹先生   \n",
       "38                  5f8f98648dbe6273dcf8515508u.jpg                     姚女士   \n",
       "39                  5f8f98698dbe6273dcf8516008u.jpg                     彭先生   \n",
       "\n",
       "   recruiter.recruiterTitle                    recruiter.imId  \\\n",
       "0                    高级招聘顾问  723eacb0a03e67ee160bef405ccde8ba   \n",
       "1                    高级招聘专员  67a7d92265cbd918361cc4c1c85cc0f8   \n",
       "2                      HRBP  59daa5361b85b936b74cd2e3b8b7dbf6   \n",
       "3                      HRBP  668c412c7c94e3e4befa578784e31c32   \n",
       "4                      hr总监  6cf2a187f5b86d763cf0acd5c06eb661   \n",
       "..                      ...                               ...   \n",
       "35                           a052f227f3b00bddac365a663ca833da   \n",
       "36                     运营经理  a1b4c5ce52746759c307fe6e334c0c05   \n",
       "37                       职员  1b743580381b19ec6bc971ec2e264ed1   \n",
       "38                     人事经理  866dd58e2ee041f98b0ca3877d009dea   \n",
       "39                       经理  4d2eaf8cc6ced9f8e37b0b202b2adc1c   \n",
       "\n",
       "   recruiter.imUserType  recruiter.chatted             recruiter.recruiterId  \\\n",
       "0                     2              False  f8c472a3baa6f961ef28bd22cce89166   \n",
       "1                     2              False  7a261c369cce7186ea75fcada03718f9   \n",
       "2                     2              False  e1885ff489881b42e52ab82ff3a0342f   \n",
       "3                     2              False  3b46127d6ee1925a2aa4bed58588776d   \n",
       "4                     2              False  1536a036e8b44e1b189053b2c664f1c0   \n",
       "..                  ...                ...                               ...   \n",
       "35                    2              False  9ba51e75dfbefd7fe2099a38703f5ef9   \n",
       "36                    2              False  3c56ed8d8a014e8df6a0ccd61c4967b7   \n",
       "37                    2              False  163fb2c3452ff8140b21b59d7f6dc377   \n",
       "38                    2              False  7958f12054cb3cd2697b6d00940283eb   \n",
       "39                    2              False  f522f343ecfaa02f74113097968b894a   \n",
       "\n",
       "   job.campusJobKind  \n",
       "0                NaN  \n",
       "1                NaN  \n",
       "2                NaN  \n",
       "3                NaN  \n",
       "4                NaN  \n",
       "..               ...  \n",
       "35               NaN  \n",
       "36               NaN  \n",
       "37               NaN  \n",
       "38               NaN  \n",
       "39               NaN  \n",
       "\n",
       "[800 rows x 32 columns]"
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df = pd.concat(response_df)\n",
    "df"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# 输出为excel"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [],
   "source": [
    "df.to_excel('猎聘_文案_深圳.xlsx')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# 读取excel"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas as pd"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Unnamed: 0</th>\n",
       "      <th>dataInfo</th>\n",
       "      <th>dataParams</th>\n",
       "      <th>comp.link</th>\n",
       "      <th>comp.compStage</th>\n",
       "      <th>comp.compLogo</th>\n",
       "      <th>comp.compId</th>\n",
       "      <th>comp.compName</th>\n",
       "      <th>comp.compScale</th>\n",
       "      <th>comp.compIndustry</th>\n",
       "      <th>...</th>\n",
       "      <th>job.pcOuterLink</th>\n",
       "      <th>job.h5OuterLink</th>\n",
       "      <th>recruiter.recruiterPhoto</th>\n",
       "      <th>recruiter.recruiterName</th>\n",
       "      <th>recruiter.recruiterTitle</th>\n",
       "      <th>recruiter.imId</th>\n",
       "      <th>recruiter.imUserType</th>\n",
       "      <th>recruiter.chatted</th>\n",
       "      <th>recruiter.recruiterId</th>\n",
       "      <th>job.campusJobKind</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>0</td>\n",
       "      <td>%7B%22pageSize%22%3A%2240%22%2C%22curPage%22%3...</td>\n",
       "      <td>{\"recruiterPhoto\":\"5f8f9865ea60860b75384fa508u...</td>\n",
       "      <td>https://www.liepin.com/company/12292187/</td>\n",
       "      <td>A轮</td>\n",
       "      <td>6388530d17377572060c196b08u.png</td>\n",
       "      <td>12292187</td>\n",
       "      <td>盈合机器人</td>\n",
       "      <td>100-499人</td>\n",
       "      <td>智能硬件</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>5f8f9865ea60860b75384fa508u.jpg</td>\n",
       "      <td>索女士</td>\n",
       "      <td>高级招聘顾问</td>\n",
       "      <td>723eacb0a03e67ee160bef405ccde8ba</td>\n",
       "      <td>2</td>\n",
       "      <td>False</td>\n",
       "      <td>f8c472a3baa6f961ef28bd22cce89166</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>1</td>\n",
       "      <td>%7B%22pageSize%22%3A%2240%22%2C%22curPage%22%3...</td>\n",
       "      <td>{\"recruiterPhoto\":\"5f8f986779c7cc70efbf36c008u...</td>\n",
       "      <td>https://www.liepin.com/company/13342883/</td>\n",
       "      <td>NaN</td>\n",
       "      <td>61b07937d0458d53c627567e02u.jpg</td>\n",
       "      <td>13342883</td>\n",
       "      <td>深圳市智创一切科技有限公司</td>\n",
       "      <td>100-499人</td>\n",
       "      <td>电子商务</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>5f8f986779c7cc70efbf36c008u.jpg</td>\n",
       "      <td>陈女士</td>\n",
       "      <td>高级招聘专员</td>\n",
       "      <td>67a7d92265cbd918361cc4c1c85cc0f8</td>\n",
       "      <td>2</td>\n",
       "      <td>False</td>\n",
       "      <td>7a261c369cce7186ea75fcada03718f9</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>2</td>\n",
       "      <td>%7B%22pageSize%22%3A%2240%22%2C%22curPage%22%3...</td>\n",
       "      <td>{\"recruiterPhoto\":\"554970df28eefc6d7ed15ad001a...</td>\n",
       "      <td>https://www.liepin.com/company/1578876/</td>\n",
       "      <td>NaN</td>\n",
       "      <td>54d1e9d2712eb4f6b84d141401a.png</td>\n",
       "      <td>1578876</td>\n",
       "      <td>友邦人寿保险有限公司深圳分公司</td>\n",
       "      <td>100-499人</td>\n",
       "      <td>保险</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>554970df28eefc6d7ed15ad001a.jpg</td>\n",
       "      <td>李女士</td>\n",
       "      <td>HRBP</td>\n",
       "      <td>59daa5361b85b936b74cd2e3b8b7dbf6</td>\n",
       "      <td>2</td>\n",
       "      <td>False</td>\n",
       "      <td>e1885ff489881b42e52ab82ff3a0342f</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>3</td>\n",
       "      <td>%7B%22pageSize%22%3A%2240%22%2C%22curPage%22%3...</td>\n",
       "      <td>{\"recruiterPhoto\":\"5f8f9866dfb13a7dee342f1808u...</td>\n",
       "      <td>https://www.liepin.com/company/9681568/</td>\n",
       "      <td>D轮</td>\n",
       "      <td>601d66cb00e91f04c68d1f1c05u.png</td>\n",
       "      <td>9681568</td>\n",
       "      <td>深圳硅基仿生科技股份有限公司</td>\n",
       "      <td>500-999人</td>\n",
       "      <td>医疗器械</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>5f8f9866dfb13a7dee342f1808u.jpg</td>\n",
       "      <td>蒋女士</td>\n",
       "      <td>HRBP</td>\n",
       "      <td>668c412c7c94e3e4befa578784e31c32</td>\n",
       "      <td>2</td>\n",
       "      <td>False</td>\n",
       "      <td>3b46127d6ee1925a2aa4bed58588776d</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>4</td>\n",
       "      <td>%7B%22pageSize%22%3A%2240%22%2C%22curPage%22%3...</td>\n",
       "      <td>{\"recruiterPhoto\":\"6567096ef389f94aa14ffb2005u...</td>\n",
       "      <td>https://www.liepin.com/company/13037571/</td>\n",
       "      <td>融资未公开</td>\n",
       "      <td>61b07937d0458d53c627567e02u.jpg</td>\n",
       "      <td>13037571</td>\n",
       "      <td>深圳追求卓越企业管理顾问服务有限公司</td>\n",
       "      <td>500-999人</td>\n",
       "      <td>咨询服务</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>6567096ef389f94aa14ffb2005u.jpg</td>\n",
       "      <td>谢女士</td>\n",
       "      <td>hr总监</td>\n",
       "      <td>6cf2a187f5b86d763cf0acd5c06eb661</td>\n",
       "      <td>2</td>\n",
       "      <td>False</td>\n",
       "      <td>1536a036e8b44e1b189053b2c664f1c0</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>795</th>\n",
       "      <td>35</td>\n",
       "      <td>%7B%22pageSize%22%3A%2240%22%2C%22curPage%22%3...</td>\n",
       "      <td>{\"recruiterPhoto\":\"5f8f9866dfb13a7dee342f1808u...</td>\n",
       "      <td>https://www.liepin.com/company/7866910/</td>\n",
       "      <td>NaN</td>\n",
       "      <td>5bfe90ce74719d35745ab52703a.png</td>\n",
       "      <td>7866910</td>\n",
       "      <td>深圳市百森鞋业有限公司</td>\n",
       "      <td>2000-5000人</td>\n",
       "      <td>服装/纺织/皮革</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>5f8f9866dfb13a7dee342f1808u.jpg</td>\n",
       "      <td>方女士</td>\n",
       "      <td>NaN</td>\n",
       "      <td>a052f227f3b00bddac365a663ca833da</td>\n",
       "      <td>2</td>\n",
       "      <td>False</td>\n",
       "      <td>9ba51e75dfbefd7fe2099a38703f5ef9</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>796</th>\n",
       "      <td>36</td>\n",
       "      <td>%7B%22pageSize%22%3A%2240%22%2C%22curPage%22%3...</td>\n",
       "      <td>{\"recruiterPhoto\":\"5f8f98698dbe6273dcf8516008u...</td>\n",
       "      <td>https://www.liepin.com/company/12260019/</td>\n",
       "      <td>天使轮</td>\n",
       "      <td>61b07937d0458d53c627567e02u.jpg</td>\n",
       "      <td>12260019</td>\n",
       "      <td>般诺智能(深圳)有限公司</td>\n",
       "      <td>100-499人</td>\n",
       "      <td>智能硬件</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>5f8f98698dbe6273dcf8516008u.jpg</td>\n",
       "      <td>孙先生</td>\n",
       "      <td>运营经理</td>\n",
       "      <td>a1b4c5ce52746759c307fe6e334c0c05</td>\n",
       "      <td>2</td>\n",
       "      <td>False</td>\n",
       "      <td>3c56ed8d8a014e8df6a0ccd61c4967b7</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>797</th>\n",
       "      <td>37</td>\n",
       "      <td>%7B%22pageSize%22%3A%2240%22%2C%22curPage%22%3...</td>\n",
       "      <td>{\"recruiterPhoto\":\"5f8f9868f6d1ab58476f24a008u...</td>\n",
       "      <td>https://www.liepin.com/company/12711951/</td>\n",
       "      <td>NaN</td>\n",
       "      <td>61b07937d0458d53c627567e02u.jpg</td>\n",
       "      <td>12711951</td>\n",
       "      <td>深圳市鲁鹏木易电子商务有限公司</td>\n",
       "      <td>1-49人</td>\n",
       "      <td>电子商务</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>5f8f9868f6d1ab58476f24a008u.jpg</td>\n",
       "      <td>曹先生</td>\n",
       "      <td>职员</td>\n",
       "      <td>1b743580381b19ec6bc971ec2e264ed1</td>\n",
       "      <td>2</td>\n",
       "      <td>False</td>\n",
       "      <td>163fb2c3452ff8140b21b59d7f6dc377</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>798</th>\n",
       "      <td>38</td>\n",
       "      <td>%7B%22pageSize%22%3A%2240%22%2C%22curPage%22%3...</td>\n",
       "      <td>{\"recruiterPhoto\":\"5f8f98648dbe6273dcf8515508u...</td>\n",
       "      <td>https://www.liepin.com/company/12690441/</td>\n",
       "      <td>融资未公开</td>\n",
       "      <td>61b07937d0458d53c627567e02u.jpg</td>\n",
       "      <td>12690441</td>\n",
       "      <td>深圳奥通顺达商贸有限公司</td>\n",
       "      <td>50-99人</td>\n",
       "      <td>日化</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>5f8f98648dbe6273dcf8515508u.jpg</td>\n",
       "      <td>姚女士</td>\n",
       "      <td>人事经理</td>\n",
       "      <td>866dd58e2ee041f98b0ca3877d009dea</td>\n",
       "      <td>2</td>\n",
       "      <td>False</td>\n",
       "      <td>7958f12054cb3cd2697b6d00940283eb</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>799</th>\n",
       "      <td>39</td>\n",
       "      <td>%7B%22pageSize%22%3A%2240%22%2C%22curPage%22%3...</td>\n",
       "      <td>{\"recruiterPhoto\":\"5f8f98698dbe6273dcf8516008u...</td>\n",
       "      <td>https://www.liepin.com/company/12687567/</td>\n",
       "      <td>NaN</td>\n",
       "      <td>61b07937d0458d53c627567e02u.jpg</td>\n",
       "      <td>12687567</td>\n",
       "      <td>深圳楚奥传媒有限公司</td>\n",
       "      <td>1-49人</td>\n",
       "      <td>在线社交/媒体</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>5f8f98698dbe6273dcf8516008u.jpg</td>\n",
       "      <td>彭先生</td>\n",
       "      <td>经理</td>\n",
       "      <td>4d2eaf8cc6ced9f8e37b0b202b2adc1c</td>\n",
       "      <td>2</td>\n",
       "      <td>False</td>\n",
       "      <td>f522f343ecfaa02f74113097968b894a</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>800 rows × 33 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "     Unnamed: 0                                           dataInfo  \\\n",
       "0             0  %7B%22pageSize%22%3A%2240%22%2C%22curPage%22%3...   \n",
       "1             1  %7B%22pageSize%22%3A%2240%22%2C%22curPage%22%3...   \n",
       "2             2  %7B%22pageSize%22%3A%2240%22%2C%22curPage%22%3...   \n",
       "3             3  %7B%22pageSize%22%3A%2240%22%2C%22curPage%22%3...   \n",
       "4             4  %7B%22pageSize%22%3A%2240%22%2C%22curPage%22%3...   \n",
       "..          ...                                                ...   \n",
       "795          35  %7B%22pageSize%22%3A%2240%22%2C%22curPage%22%3...   \n",
       "796          36  %7B%22pageSize%22%3A%2240%22%2C%22curPage%22%3...   \n",
       "797          37  %7B%22pageSize%22%3A%2240%22%2C%22curPage%22%3...   \n",
       "798          38  %7B%22pageSize%22%3A%2240%22%2C%22curPage%22%3...   \n",
       "799          39  %7B%22pageSize%22%3A%2240%22%2C%22curPage%22%3...   \n",
       "\n",
       "                                            dataParams  \\\n",
       "0    {\"recruiterPhoto\":\"5f8f9865ea60860b75384fa508u...   \n",
       "1    {\"recruiterPhoto\":\"5f8f986779c7cc70efbf36c008u...   \n",
       "2    {\"recruiterPhoto\":\"554970df28eefc6d7ed15ad001a...   \n",
       "3    {\"recruiterPhoto\":\"5f8f9866dfb13a7dee342f1808u...   \n",
       "4    {\"recruiterPhoto\":\"6567096ef389f94aa14ffb2005u...   \n",
       "..                                                 ...   \n",
       "795  {\"recruiterPhoto\":\"5f8f9866dfb13a7dee342f1808u...   \n",
       "796  {\"recruiterPhoto\":\"5f8f98698dbe6273dcf8516008u...   \n",
       "797  {\"recruiterPhoto\":\"5f8f9868f6d1ab58476f24a008u...   \n",
       "798  {\"recruiterPhoto\":\"5f8f98648dbe6273dcf8515508u...   \n",
       "799  {\"recruiterPhoto\":\"5f8f98698dbe6273dcf8516008u...   \n",
       "\n",
       "                                    comp.link comp.compStage  \\\n",
       "0    https://www.liepin.com/company/12292187/             A轮   \n",
       "1    https://www.liepin.com/company/13342883/            NaN   \n",
       "2     https://www.liepin.com/company/1578876/            NaN   \n",
       "3     https://www.liepin.com/company/9681568/             D轮   \n",
       "4    https://www.liepin.com/company/13037571/          融资未公开   \n",
       "..                                        ...            ...   \n",
       "795   https://www.liepin.com/company/7866910/            NaN   \n",
       "796  https://www.liepin.com/company/12260019/            天使轮   \n",
       "797  https://www.liepin.com/company/12711951/            NaN   \n",
       "798  https://www.liepin.com/company/12690441/          融资未公开   \n",
       "799  https://www.liepin.com/company/12687567/            NaN   \n",
       "\n",
       "                       comp.compLogo  comp.compId       comp.compName  \\\n",
       "0    6388530d17377572060c196b08u.png     12292187               盈合机器人   \n",
       "1    61b07937d0458d53c627567e02u.jpg     13342883       深圳市智创一切科技有限公司   \n",
       "2    54d1e9d2712eb4f6b84d141401a.png      1578876     友邦人寿保险有限公司深圳分公司   \n",
       "3    601d66cb00e91f04c68d1f1c05u.png      9681568      深圳硅基仿生科技股份有限公司   \n",
       "4    61b07937d0458d53c627567e02u.jpg     13037571  深圳追求卓越企业管理顾问服务有限公司   \n",
       "..                               ...          ...                 ...   \n",
       "795  5bfe90ce74719d35745ab52703a.png      7866910         深圳市百森鞋业有限公司   \n",
       "796  61b07937d0458d53c627567e02u.jpg     12260019        般诺智能(深圳)有限公司   \n",
       "797  61b07937d0458d53c627567e02u.jpg     12711951     深圳市鲁鹏木易电子商务有限公司   \n",
       "798  61b07937d0458d53c627567e02u.jpg     12690441        深圳奥通顺达商贸有限公司   \n",
       "799  61b07937d0458d53c627567e02u.jpg     12687567          深圳楚奥传媒有限公司   \n",
       "\n",
       "    comp.compScale comp.compIndustry  ... job.pcOuterLink job.h5OuterLink  \\\n",
       "0         100-499人              智能硬件  ...             NaN             NaN   \n",
       "1         100-499人              电子商务  ...             NaN             NaN   \n",
       "2         100-499人                保险  ...             NaN             NaN   \n",
       "3         500-999人              医疗器械  ...             NaN             NaN   \n",
       "4         500-999人              咨询服务  ...             NaN             NaN   \n",
       "..             ...               ...  ...             ...             ...   \n",
       "795     2000-5000人          服装/纺织/皮革  ...             NaN             NaN   \n",
       "796       100-499人              智能硬件  ...             NaN             NaN   \n",
       "797          1-49人              电子商务  ...             NaN             NaN   \n",
       "798         50-99人                日化  ...             NaN             NaN   \n",
       "799          1-49人           在线社交/媒体  ...             NaN             NaN   \n",
       "\n",
       "            recruiter.recruiterPhoto recruiter.recruiterName  \\\n",
       "0    5f8f9865ea60860b75384fa508u.jpg                     索女士   \n",
       "1    5f8f986779c7cc70efbf36c008u.jpg                     陈女士   \n",
       "2    554970df28eefc6d7ed15ad001a.jpg                     李女士   \n",
       "3    5f8f9866dfb13a7dee342f1808u.jpg                     蒋女士   \n",
       "4    6567096ef389f94aa14ffb2005u.jpg                     谢女士   \n",
       "..                               ...                     ...   \n",
       "795  5f8f9866dfb13a7dee342f1808u.jpg                     方女士   \n",
       "796  5f8f98698dbe6273dcf8516008u.jpg                     孙先生   \n",
       "797  5f8f9868f6d1ab58476f24a008u.jpg                     曹先生   \n",
       "798  5f8f98648dbe6273dcf8515508u.jpg                     姚女士   \n",
       "799  5f8f98698dbe6273dcf8516008u.jpg                     彭先生   \n",
       "\n",
       "    recruiter.recruiterTitle                    recruiter.imId  \\\n",
       "0                     高级招聘顾问  723eacb0a03e67ee160bef405ccde8ba   \n",
       "1                     高级招聘专员  67a7d92265cbd918361cc4c1c85cc0f8   \n",
       "2                       HRBP  59daa5361b85b936b74cd2e3b8b7dbf6   \n",
       "3                       HRBP  668c412c7c94e3e4befa578784e31c32   \n",
       "4                       hr总监  6cf2a187f5b86d763cf0acd5c06eb661   \n",
       "..                       ...                               ...   \n",
       "795                      NaN  a052f227f3b00bddac365a663ca833da   \n",
       "796                     运营经理  a1b4c5ce52746759c307fe6e334c0c05   \n",
       "797                       职员  1b743580381b19ec6bc971ec2e264ed1   \n",
       "798                     人事经理  866dd58e2ee041f98b0ca3877d009dea   \n",
       "799                       经理  4d2eaf8cc6ced9f8e37b0b202b2adc1c   \n",
       "\n",
       "    recruiter.imUserType  recruiter.chatted             recruiter.recruiterId  \\\n",
       "0                      2              False  f8c472a3baa6f961ef28bd22cce89166   \n",
       "1                      2              False  7a261c369cce7186ea75fcada03718f9   \n",
       "2                      2              False  e1885ff489881b42e52ab82ff3a0342f   \n",
       "3                      2              False  3b46127d6ee1925a2aa4bed58588776d   \n",
       "4                      2              False  1536a036e8b44e1b189053b2c664f1c0   \n",
       "..                   ...                ...                               ...   \n",
       "795                    2              False  9ba51e75dfbefd7fe2099a38703f5ef9   \n",
       "796                    2              False  3c56ed8d8a014e8df6a0ccd61c4967b7   \n",
       "797                    2              False  163fb2c3452ff8140b21b59d7f6dc377   \n",
       "798                    2              False  7958f12054cb3cd2697b6d00940283eb   \n",
       "799                    2              False  f522f343ecfaa02f74113097968b894a   \n",
       "\n",
       "     job.campusJobKind  \n",
       "0                  NaN  \n",
       "1                  NaN  \n",
       "2                  NaN  \n",
       "3                  NaN  \n",
       "4                  NaN  \n",
       "..                 ...  \n",
       "795                NaN  \n",
       "796                NaN  \n",
       "797                NaN  \n",
       "798                NaN  \n",
       "799                NaN  \n",
       "\n",
       "[800 rows x 33 columns]"
      ]
     },
     "execution_count": 15,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df = pd.read_excel('猎聘_文案_深圳.xlsx')\n",
    "df"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'pandas.core.frame.DataFrame'>\n",
      "RangeIndex: 800 entries, 0 to 799\n",
      "Data columns (total 33 columns):\n",
      " #   Column                    Non-Null Count  Dtype  \n",
      "---  ------                    --------------  -----  \n",
      " 0   Unnamed: 0                800 non-null    int64  \n",
      " 1   dataInfo                  800 non-null    object \n",
      " 2   dataParams                800 non-null    object \n",
      " 3   comp.link                 800 non-null    object \n",
      " 4   comp.compStage            340 non-null    object \n",
      " 5   comp.compLogo             800 non-null    object \n",
      " 6   comp.compId               800 non-null    int64  \n",
      " 7   comp.compName             800 non-null    object \n",
      " 8   comp.compScale            800 non-null    object \n",
      " 9   comp.compIndustry         800 non-null    object \n",
      " 10  job.labels                800 non-null    object \n",
      " 11  job.title                 800 non-null    object \n",
      " 12  job.salary                800 non-null    object \n",
      " 13  job.dataPromId            800 non-null    object \n",
      " 14  job.link                  800 non-null    object \n",
      " 15  job.refreshTime           800 non-null    int64  \n",
      " 16  job.dq                    800 non-null    object \n",
      " 17  job.jobId                 800 non-null    int64  \n",
      " 18  job.topJob                800 non-null    bool   \n",
      " 19  job.advViewFlag           800 non-null    bool   \n",
      " 20  job.jobKind               800 non-null    int64  \n",
      " 21  job.requireWorkYears      780 non-null    object \n",
      " 22  job.requireEduLevel       800 non-null    object \n",
      " 23  job.pcOuterLink           0 non-null      float64\n",
      " 24  job.h5OuterLink           0 non-null      float64\n",
      " 25  recruiter.recruiterPhoto  800 non-null    object \n",
      " 26  recruiter.recruiterName   800 non-null    object \n",
      " 27  recruiter.recruiterTitle  700 non-null    object \n",
      " 28  recruiter.imId            800 non-null    object \n",
      " 29  recruiter.imUserType      800 non-null    int64  \n",
      " 30  recruiter.chatted         800 non-null    bool   \n",
      " 31  recruiter.recruiterId     800 non-null    object \n",
      " 32  job.campusJobKind         20 non-null     object \n",
      "dtypes: bool(3), float64(2), int64(6), object(22)\n",
      "memory usage: 190.0+ KB\n"
     ]
    }
   ],
   "source": [
    "df.info()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "800"
      ]
     },
     "execution_count": 17,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "len(df['job.link'])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "'https://www.liepin.com/job/1963688733.shtml'"
      ]
     },
     "execution_count": 18,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df['job.link'][0]"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# 爬取技能要求"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {},
   "outputs": [],
   "source": [
    "from requests_html import HTMLSession\n",
    "session = HTMLSession()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {},
   "outputs": [],
   "source": [
    "技能要求 = []\n",
    "for i in range(len(df['job.link'])):\n",
    "    s = session.get(df['job.link'][i])\n",
    "    command = s.html.find('dd')\n",
    "    技能要求.append(command[0].text)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {},
   "outputs": [],
   "source": [
    "df.loc[:, '技能要求'] = 技能要求"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# 输出最终表"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {},
   "outputs": [],
   "source": [
    "df.to_excel('猎聘_文案_深圳'+'.xlsx')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "# 读取Excel文件\n",
    "file_path = '猎聘_文案_深圳.xlsx'\n",
    "df = pd.read_excel(file_path)\n",
    "# 重命名列名\n",
    "new_column_names = {\n",
    "        'Unnamed: 0':' 序号',\n",
    "        'comp.link':'公司链接',\n",
    "        'comp.compLogo':'公司logo',\n",
    "        'comp.compId':'公司ID',\n",
    "        'job.jobId':'职位ID',\n",
    "        'job.labels':'职位标签',\n",
    "        'job.refreshTime':'职位更新时间',\n",
    "        'job.title':'职位',\n",
    "        'job.salary':'薪资',\n",
    "        'job.dq':'地区',\n",
    "        'job.topJob':'职位的重要程度',\n",
    "        'comp.compStage':'公司融资情况',\n",
    "        'comp.compName':'公司名称',\n",
    "        'comp.compIndustry':'行业',\n",
    "        'comp.compScale':'规模',\n",
    "        'job.link':'职位链接',\n",
    "        'job.requireWorkYears':'经验要求',\n",
    "        'job.requireEduLevel':'学历要求',\n",
    "        'recruiter.recruiterName':'联系人',\n",
    "        'recruiter.recruiterTitle':'联系人职位',\n",
    "        'recruiter.recruiterId':'联系人ID'\n",
    "}\n",
    "df.rename(columns=new_column_names, inplace=True)\n",
    "# 将修改后的数据保存到新的Excel文件\n",
    "output_file_path = '猎聘_文案_深圳.xlsx'\n",
    "df.to_excel(output_file_path, index=False)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": []
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# 可视化"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 词云图"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {},
   "outputs": [],
   "source": [
    "df = pd.read_excel(\"猎聘_文案_深圳.xlsx\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "Building prefix dict from the default dictionary ...\n",
      "Loading model from cache C:\\Users\\Lenovo\\AppData\\Local\\Temp\\jieba.cache\n",
      "Loading model cost 0.611 seconds.\n",
      "Prefix dict has been built successfully.\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 720x720 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "import jieba.analyse\n",
    "from wordcloud import WordCloud\n",
    "import matplotlib.pyplot as plt\n",
    "import matplotlib\n",
    "\n",
    "# 使用jieba进行中文分词\n",
    "def chinese_segmentation(text):\n",
    "    words = jieba.cut(text, cut_all=False, HMM=True)\n",
    "    return \" \".join(words)\n",
    "\n",
    "# 对DataFrame的'intro'列应用中文分词\n",
    "df['intro_segmented'] = df['行业'].apply(chinese_segmentation)\n",
    "\n",
    "# 从外部文件读取停用词列表\n",
    "jieba.analyse.set_stop_words(\"stopwords.txt\")\n",
    "\n",
    "# 创建词云，并排除停用词\n",
    "def generate_wordcloud(text):\n",
    "    # 使用 jieba.analyse.extract_tags 提取关键词\n",
    "    keywords = jieba.analyse.extract_tags(text, topK=100, withWeight=True, allowPOS=('n', 'nr', 'ns'))\n",
    "    \n",
    "    # 构建关键词和权重的字典\n",
    "    keywords_dict = {word: weight for word, weight in keywords}\n",
    "    \n",
    "    # 创建词云\n",
    "    wordcloud = WordCloud(\n",
    "        width=1000, \n",
    "        height=1000, \n",
    "        background_color='white', \n",
    "        max_words=800, \n",
    "        collocations=True, \n",
    "        font_path='simhei.ttf',  # 使用支持中文的字体\n",
    "    ).generate_from_frequencies(keywords_dict)\n",
    "    \n",
    "    # 显示词云图像\n",
    "    plt.figure(figsize=(10, 10))\n",
    "    plt.imshow(wordcloud, interpolation='bilinear')\n",
    "    plt.axis('on')\n",
    "    \n",
    "    # 将图像保存为文件\n",
    "    matplotlib.pyplot.savefig(\"深圳_行业_词云图.png\")\n",
    "    \n",
    "# 对所有'intro_segmented'文本进行拼接\n",
    "all_intro_text = \" \".join(df['intro_segmented'])\n",
    "\n",
    "# 生成并显示词云\n",
    "generate_wordcloud(all_intro_text)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 条形图"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {
    "scrolled": false
   },
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 720x360 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "import pandas as pd\n",
    "from collections import Counter\n",
    "import matplotlib.pyplot as plt\n",
    "from matplotlib.font_manager import FontProperties\n",
    "\n",
    "# 设置字体为SimHei,这是一种支持中文的字体\n",
    "plt.rcParams['font.sans-serif'] = ['SimHei']\n",
    "plt.rcParams['axes.unicode_minus'] = False\n",
    "\n",
    "# 读取Excel表格数据\n",
    "df = pd.read_excel('猎聘_文案_上海.xlsx')\n",
    "\n",
    "# 将需要分析的列转换为字符串类型\n",
    "df['行业'] = df['行业'].astype(str)\n",
    "\n",
    "# 统计该列中每个单词出现的次数\n",
    "word_count = Counter(df['学历要求'])\n",
    "\n",
    "# 只显示前10的词频\n",
    "top_10 = word_count.most_common(10)\n",
    "\n",
    "# 设置图表大小\n",
    "plt.figure(figsize=(10, 5))\n",
    "\n",
    "# 绘制条形图\n",
    "plt.bar(top_10[0][0], top_10[0][1])\n",
    "for i in range(1, len(top_10)):\n",
    "    plt.bar(top_10[i][0], top_10[i][1])\n",
    "\n",
    "# 设置图表标题和坐标轴标签\n",
    "plt.title('词频统计')\n",
    "plt.xlabel('学历要求')\n",
    "plt.ylabel('出现次数')\n",
    "\n",
    "# 保存图表为图片\n",
    "plt.savefig('上海_学历_条形图.png')\n",
    "\n",
    "# 显示图表\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "text/plain": [
       "<Figure size 720x432 with 0 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "import pandas as pd\n",
    "import matplotlib.pyplot as plt\n",
    "# 确保文件路径正确且文件存在\n",
    "file_path = '猎聘_文案_深圳.xlsx'  # 替换为你的Excel文件路径\n",
    "df = pd.read_excel(file_path)\n",
    "# 确保'行业'和'薪资'这两列在Excel文件中存在\n",
    "column1 = df['行业']  # 替换为你需要绘制散点图的第一列的列名\n",
    "column2 = df['薪资']  # 替换为你需要绘制散点图的第二列的列名\n",
    "# 绘制散点图\n",
    "plt.scatter(column1, column2)\n",
    "plt.xlabel('行业')\n",
    "plt.ylabel('薪资')\n",
    "plt.title('行业和薪资的关联')\n",
    "# 扩大坐标轴范围\n",
    "plt.figure(figsize=(10, 6))\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 折线图"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "metadata": {},
   "outputs": [],
   "source": [
    "df = pd.read_excel(\"猎聘_文案_上海.xlsx\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 34,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>序号</th>\n",
       "      <th>dataInfo</th>\n",
       "      <th>dataParams</th>\n",
       "      <th>公司链接</th>\n",
       "      <th>公司logo</th>\n",
       "      <th>公司名称</th>\n",
       "      <th>规模</th>\n",
       "      <th>公司ID</th>\n",
       "      <th>行业</th>\n",
       "      <th>职位标签</th>\n",
       "      <th>...</th>\n",
       "      <th>地区</th>\n",
       "      <th>薪资</th>\n",
       "      <th>职位ID</th>\n",
       "      <th>职位更新时间</th>\n",
       "      <th>经验要求</th>\n",
       "      <th>学历要求</th>\n",
       "      <th>联系人ID</th>\n",
       "      <th>联系人</th>\n",
       "      <th>联系人职位</th>\n",
       "      <th>公司融资情况</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>1</td>\n",
       "      <td>%7B%22ckId%22%3A%22h2c8pxojavrmo1w785z7ueih2yb...</td>\n",
       "      <td>{\"jobKind\":\"2\",\"recruiterName\":\"张女士\",\"jobId\":\"...</td>\n",
       "      <td>https://www.liepin.com/company/12995689/</td>\n",
       "      <td>6194cb4fcebef22fcca2ec0702u.png</td>\n",
       "      <td>海芈威(上海)智能科技有限公司</td>\n",
       "      <td>100-499人</td>\n",
       "      <td>12995689.0</td>\n",
       "      <td>互联网</td>\n",
       "      <td>[]</td>\n",
       "      <td>...</td>\n",
       "      <td>上海-松江区</td>\n",
       "      <td>11-18k</td>\n",
       "      <td>50622505</td>\n",
       "      <td>20231221141100</td>\n",
       "      <td>1-3年</td>\n",
       "      <td>本科</td>\n",
       "      <td>374c14d67194f3774eec2e54513b8585</td>\n",
       "      <td>张女士</td>\n",
       "      <td>HR</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2</td>\n",
       "      <td>%7B%22ckId%22%3A%22h2c8pxojavrmo1w785z7ueih2yb...</td>\n",
       "      <td>{\"jobKind\":\"2\",\"recruiterName\":\"曾女士\",\"jobId\":\"...</td>\n",
       "      <td>https://www.liepin.com/company/13454545/</td>\n",
       "      <td>642bd158fb608822bfbf919304u.png</td>\n",
       "      <td>嘉兴九州文化传媒有限公司</td>\n",
       "      <td>500-999人</td>\n",
       "      <td>13454545.0</td>\n",
       "      <td>文化艺术业</td>\n",
       "      <td>['信息流投放', '广告投放/流量运营']</td>\n",
       "      <td>...</td>\n",
       "      <td>上海-浦东新区</td>\n",
       "      <td>8-11k·13薪</td>\n",
       "      <td>63717111</td>\n",
       "      <td>20231219173248</td>\n",
       "      <td>1-3年</td>\n",
       "      <td>本科</td>\n",
       "      <td>c726e532ea4d102258f331f9c8825682</td>\n",
       "      <td>曾女士</td>\n",
       "      <td>招聘</td>\n",
       "      <td>融资未公开</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>3</td>\n",
       "      <td>%7B%22ckId%22%3A%22h2c8pxojavrmo1w785z7ueih2yb...</td>\n",
       "      <td>{\"jobKind\":\"2\",\"recruiterName\":\"万女士\",\"jobId\":\"...</td>\n",
       "      <td>https://www.liepin.com/company/12979553/</td>\n",
       "      <td>6184a5dbda4fba5b88a2a2e504u.png</td>\n",
       "      <td>伊莱特(上海)分公司</td>\n",
       "      <td>50-99人</td>\n",
       "      <td>12979553.0</td>\n",
       "      <td>贸易/进出口</td>\n",
       "      <td>['企业文化管理', '行政前台/接待', '企业文化', '文档管理', '活动管理', ...</td>\n",
       "      <td>...</td>\n",
       "      <td>上海-静安区</td>\n",
       "      <td>6-12k</td>\n",
       "      <td>58029275</td>\n",
       "      <td>20231219095340</td>\n",
       "      <td>经验不限</td>\n",
       "      <td>本科</td>\n",
       "      <td>29bca118771ac931ceecdac8a14fc650</td>\n",
       "      <td>万女士</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>4</td>\n",
       "      <td>%7B%22ckId%22%3A%22h2c8pxojavrmo1w785z7ueih2yb...</td>\n",
       "      <td>{\"jobKind\":\"2\",\"recruiterName\":\"景女士\",\"jobId\":\"...</td>\n",
       "      <td>https://www.liepin.com/company/4518542/</td>\n",
       "      <td>61e7bd72c4a46a1daf60d03b05u.png</td>\n",
       "      <td>悠可化妆品</td>\n",
       "      <td>1000-2000人</td>\n",
       "      <td>4518542.0</td>\n",
       "      <td>电子商务</td>\n",
       "      <td>['品牌私域文案', '微信公众号', '小程序', '专题页', '详情页']</td>\n",
       "      <td>...</td>\n",
       "      <td>上海-长宁区</td>\n",
       "      <td>10-15k</td>\n",
       "      <td>56105881</td>\n",
       "      <td>20230214172848</td>\n",
       "      <td>1-3年</td>\n",
       "      <td>本科</td>\n",
       "      <td>b980e1854062e7532a9fb47ba05cc2ce</td>\n",
       "      <td>景女士</td>\n",
       "      <td>HRD</td>\n",
       "      <td>其他</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>5</td>\n",
       "      <td>%7B%22ckId%22%3A%22h2c8pxojavrmo1w785z7ueih2yb...</td>\n",
       "      <td>{\"jobKind\":\"2\",\"recruiterName\":\"季女士\",\"jobId\":\"...</td>\n",
       "      <td>https://www.liepin.com/company/9585980/</td>\n",
       "      <td>5b5edfce8e507b39f9c82dd204a.jpg</td>\n",
       "      <td>上海点正互联网科技有限公司</td>\n",
       "      <td>100-499人</td>\n",
       "      <td>9585980.0</td>\n",
       "      <td>电子商务</td>\n",
       "      <td>['短视频文案', '私域文案', '微信公号文案']</td>\n",
       "      <td>...</td>\n",
       "      <td>上海</td>\n",
       "      <td>10-15k</td>\n",
       "      <td>55881187</td>\n",
       "      <td>20230913172426</td>\n",
       "      <td>1-3年</td>\n",
       "      <td>本科</td>\n",
       "      <td>e5f91bdefcb152f9a3ddefed5f764b91</td>\n",
       "      <td>季女士</td>\n",
       "      <td>HR</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>795</th>\n",
       "      <td>796</td>\n",
       "      <td>%7B%22ckId%22%3A%22h2c8pxojavrmo1w785z7ueih2yb...</td>\n",
       "      <td>{\"jobKind\":\"1\",\"recruiterName\":\"彭女士\",\"jobId\":\"...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>60e2fe0bf3df194a3c48adb502u.png</td>\n",
       "      <td>某知名公司</td>\n",
       "      <td>100-499人</td>\n",
       "      <td>NaN</td>\n",
       "      <td>银行</td>\n",
       "      <td>['文案策划', '广告策划', '新媒体策划', '自媒体策划', '品牌策划', '自媒...</td>\n",
       "      <td>...</td>\n",
       "      <td>上海</td>\n",
       "      <td>18-35k·14薪</td>\n",
       "      <td>51719293</td>\n",
       "      <td>20231220113601</td>\n",
       "      <td>经验不限</td>\n",
       "      <td>本科</td>\n",
       "      <td>519e1c82b7a4a01061a7d63d1a613a29</td>\n",
       "      <td>彭女士</td>\n",
       "      <td>猎头顾问</td>\n",
       "      <td>融资未公开</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>796</th>\n",
       "      <td>797</td>\n",
       "      <td>%7B%22ckId%22%3A%22h2c8pxojavrmo1w785z7ueih2yb...</td>\n",
       "      <td>{\"jobKind\":\"2\",\"recruiterName\":\"熊女士\",\"jobId\":\"...</td>\n",
       "      <td>https://www.liepin.com/company/8024171/</td>\n",
       "      <td>5d007045d3ced4486476067102u.jpg</td>\n",
       "      <td>芯动科技</td>\n",
       "      <td>100-499人</td>\n",
       "      <td>8024171.0</td>\n",
       "      <td>电子/半导体/集成电路</td>\n",
       "      <td>[]</td>\n",
       "      <td>...</td>\n",
       "      <td>上海-浦东新区</td>\n",
       "      <td>15-25k·15薪</td>\n",
       "      <td>63487391</td>\n",
       "      <td>20231208140318</td>\n",
       "      <td>3-5年</td>\n",
       "      <td>本科</td>\n",
       "      <td>38efdf0525f65baf51c02c8c9db847db</td>\n",
       "      <td>熊女士</td>\n",
       "      <td>HRBP</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>797</th>\n",
       "      <td>798</td>\n",
       "      <td>%7B%22ckId%22%3A%22h2c8pxojavrmo1w785z7ueih2yb...</td>\n",
       "      <td>{\"jobKind\":\"2\",\"recruiterName\":\"李女士\",\"jobId\":\"...</td>\n",
       "      <td>https://www.liepin.com/company/12978395/</td>\n",
       "      <td>61b07937d0458d53c627567e02u.jpg</td>\n",
       "      <td>上海鹿优名教育科技有限公司</td>\n",
       "      <td>100-499人</td>\n",
       "      <td>12978395.0</td>\n",
       "      <td>专业技术服务</td>\n",
       "      <td>['品牌运营', '微信公众号', '内容运营', '用户运营', '教育培训', '线上运...</td>\n",
       "      <td>...</td>\n",
       "      <td>上海-长宁区</td>\n",
       "      <td>15-20k</td>\n",
       "      <td>63500845</td>\n",
       "      <td>20231208210245</td>\n",
       "      <td>3-5年</td>\n",
       "      <td>本科</td>\n",
       "      <td>96c0c6b8652185665405000be38aeae3</td>\n",
       "      <td>李女士</td>\n",
       "      <td>人事</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>798</th>\n",
       "      <td>799</td>\n",
       "      <td>%7B%22ckId%22%3A%22h2c8pxojavrmo1w785z7ueih2yb...</td>\n",
       "      <td>{\"jobKind\":\"2\",\"recruiterName\":\"范女士\",\"jobId\":\"...</td>\n",
       "      <td>https://www.liepin.com/company/9733284/</td>\n",
       "      <td>5f72c360ea60860b752d01a501u.png</td>\n",
       "      <td>江苏百斯特食品科技有限公司</td>\n",
       "      <td>500-999人</td>\n",
       "      <td>9733284.0</td>\n",
       "      <td>食品/饮料/酒水</td>\n",
       "      <td>['文案策划', '品牌策划', '广告策划', '广告媒介', '广告/传媒/文化']</td>\n",
       "      <td>...</td>\n",
       "      <td>上海-徐汇区</td>\n",
       "      <td>8-15k·13薪</td>\n",
       "      <td>59968695</td>\n",
       "      <td>20231221164656</td>\n",
       "      <td>3-5年</td>\n",
       "      <td>本科</td>\n",
       "      <td>be5418722f87d290fe3c36d746af8c5f</td>\n",
       "      <td>范女士</td>\n",
       "      <td>HR</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>799</th>\n",
       "      <td>800</td>\n",
       "      <td>%7B%22ckId%22%3A%22h2c8pxojavrmo1w785z7ueih2yb...</td>\n",
       "      <td>{\"jobKind\":\"2\",\"recruiterName\":\"徐先生\",\"jobId\":\"...</td>\n",
       "      <td>https://www.liepin.com/company/12508465/</td>\n",
       "      <td>60619e1d896fc7058e7ef8f705u.jpg</td>\n",
       "      <td>浙江大学湖州研究院</td>\n",
       "      <td>100-499人</td>\n",
       "      <td>12508465.0</td>\n",
       "      <td>专业技术服务</td>\n",
       "      <td>['文案策划', '品牌策划', '活动策划', '新媒体策划', '网站策划', '门户网...</td>\n",
       "      <td>...</td>\n",
       "      <td>上海-青浦区</td>\n",
       "      <td>12-18k·13薪</td>\n",
       "      <td>59907871</td>\n",
       "      <td>20230711112348</td>\n",
       "      <td>3-5年</td>\n",
       "      <td>本科</td>\n",
       "      <td>1672c5ed4c3709a7bd53a4227f8a3d69</td>\n",
       "      <td>徐先生</td>\n",
       "      <td>增材制造与数字系统研究中心 主任</td>\n",
       "      <td>融资未公开</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>760 rows × 23 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "      序号                                           dataInfo  \\\n",
       "0      1  %7B%22ckId%22%3A%22h2c8pxojavrmo1w785z7ueih2yb...   \n",
       "1      2  %7B%22ckId%22%3A%22h2c8pxojavrmo1w785z7ueih2yb...   \n",
       "2      3  %7B%22ckId%22%3A%22h2c8pxojavrmo1w785z7ueih2yb...   \n",
       "3      4  %7B%22ckId%22%3A%22h2c8pxojavrmo1w785z7ueih2yb...   \n",
       "4      5  %7B%22ckId%22%3A%22h2c8pxojavrmo1w785z7ueih2yb...   \n",
       "..   ...                                                ...   \n",
       "795  796  %7B%22ckId%22%3A%22h2c8pxojavrmo1w785z7ueih2yb...   \n",
       "796  797  %7B%22ckId%22%3A%22h2c8pxojavrmo1w785z7ueih2yb...   \n",
       "797  798  %7B%22ckId%22%3A%22h2c8pxojavrmo1w785z7ueih2yb...   \n",
       "798  799  %7B%22ckId%22%3A%22h2c8pxojavrmo1w785z7ueih2yb...   \n",
       "799  800  %7B%22ckId%22%3A%22h2c8pxojavrmo1w785z7ueih2yb...   \n",
       "\n",
       "                                            dataParams  \\\n",
       "0    {\"jobKind\":\"2\",\"recruiterName\":\"张女士\",\"jobId\":\"...   \n",
       "1    {\"jobKind\":\"2\",\"recruiterName\":\"曾女士\",\"jobId\":\"...   \n",
       "2    {\"jobKind\":\"2\",\"recruiterName\":\"万女士\",\"jobId\":\"...   \n",
       "3    {\"jobKind\":\"2\",\"recruiterName\":\"景女士\",\"jobId\":\"...   \n",
       "4    {\"jobKind\":\"2\",\"recruiterName\":\"季女士\",\"jobId\":\"...   \n",
       "..                                                 ...   \n",
       "795  {\"jobKind\":\"1\",\"recruiterName\":\"彭女士\",\"jobId\":\"...   \n",
       "796  {\"jobKind\":\"2\",\"recruiterName\":\"熊女士\",\"jobId\":\"...   \n",
       "797  {\"jobKind\":\"2\",\"recruiterName\":\"李女士\",\"jobId\":\"...   \n",
       "798  {\"jobKind\":\"2\",\"recruiterName\":\"范女士\",\"jobId\":\"...   \n",
       "799  {\"jobKind\":\"2\",\"recruiterName\":\"徐先生\",\"jobId\":\"...   \n",
       "\n",
       "                                         公司链接  \\\n",
       "0    https://www.liepin.com/company/12995689/   \n",
       "1    https://www.liepin.com/company/13454545/   \n",
       "2    https://www.liepin.com/company/12979553/   \n",
       "3     https://www.liepin.com/company/4518542/   \n",
       "4     https://www.liepin.com/company/9585980/   \n",
       "..                                        ...   \n",
       "795                                       NaN   \n",
       "796   https://www.liepin.com/company/8024171/   \n",
       "797  https://www.liepin.com/company/12978395/   \n",
       "798   https://www.liepin.com/company/9733284/   \n",
       "799  https://www.liepin.com/company/12508465/   \n",
       "\n",
       "                              公司logo             公司名称          规模        公司ID  \\\n",
       "0    6194cb4fcebef22fcca2ec0702u.png  海芈威(上海)智能科技有限公司    100-499人  12995689.0   \n",
       "1    642bd158fb608822bfbf919304u.png     嘉兴九州文化传媒有限公司    500-999人  13454545.0   \n",
       "2    6184a5dbda4fba5b88a2a2e504u.png       伊莱特(上海)分公司      50-99人  12979553.0   \n",
       "3    61e7bd72c4a46a1daf60d03b05u.png            悠可化妆品  1000-2000人   4518542.0   \n",
       "4    5b5edfce8e507b39f9c82dd204a.jpg    上海点正互联网科技有限公司    100-499人   9585980.0   \n",
       "..                               ...              ...         ...         ...   \n",
       "795  60e2fe0bf3df194a3c48adb502u.png            某知名公司    100-499人         NaN   \n",
       "796  5d007045d3ced4486476067102u.jpg             芯动科技    100-499人   8024171.0   \n",
       "797  61b07937d0458d53c627567e02u.jpg    上海鹿优名教育科技有限公司    100-499人  12978395.0   \n",
       "798  5f72c360ea60860b752d01a501u.png    江苏百斯特食品科技有限公司    500-999人   9733284.0   \n",
       "799  60619e1d896fc7058e7ef8f705u.jpg        浙江大学湖州研究院    100-499人  12508465.0   \n",
       "\n",
       "              行业                                               职位标签  ...  \\\n",
       "0            互联网                                                 []  ...   \n",
       "1          文化艺术业                             ['信息流投放', '广告投放/流量运营']  ...   \n",
       "2         贸易/进出口  ['企业文化管理', '行政前台/接待', '企业文化', '文档管理', '活动管理', ...  ...   \n",
       "3           电子商务           ['品牌私域文案', '微信公众号', '小程序', '专题页', '详情页']  ...   \n",
       "4           电子商务                        ['短视频文案', '私域文案', '微信公号文案']  ...   \n",
       "..           ...                                                ...  ...   \n",
       "795           银行  ['文案策划', '广告策划', '新媒体策划', '自媒体策划', '品牌策划', '自媒...  ...   \n",
       "796  电子/半导体/集成电路                                                 []  ...   \n",
       "797       专业技术服务  ['品牌运营', '微信公众号', '内容运营', '用户运营', '教育培训', '线上运...  ...   \n",
       "798     食品/饮料/酒水       ['文案策划', '品牌策划', '广告策划', '广告媒介', '广告/传媒/文化']  ...   \n",
       "799       专业技术服务  ['文案策划', '品牌策划', '活动策划', '新媒体策划', '网站策划', '门户网...  ...   \n",
       "\n",
       "          地区          薪资      职位ID          职位更新时间  经验要求  学历要求  \\\n",
       "0     上海-松江区      11-18k  50622505  20231221141100  1-3年    本科   \n",
       "1    上海-浦东新区   8-11k·13薪  63717111  20231219173248  1-3年    本科   \n",
       "2     上海-静安区       6-12k  58029275  20231219095340  经验不限    本科   \n",
       "3     上海-长宁区      10-15k  56105881  20230214172848  1-3年    本科   \n",
       "4         上海      10-15k  55881187  20230913172426  1-3年    本科   \n",
       "..       ...         ...       ...             ...   ...   ...   \n",
       "795       上海  18-35k·14薪  51719293  20231220113601  经验不限    本科   \n",
       "796  上海-浦东新区  15-25k·15薪  63487391  20231208140318  3-5年    本科   \n",
       "797   上海-长宁区      15-20k  63500845  20231208210245  3-5年    本科   \n",
       "798   上海-徐汇区   8-15k·13薪  59968695  20231221164656  3-5年    本科   \n",
       "799   上海-青浦区  12-18k·13薪  59907871  20230711112348  3-5年    本科   \n",
       "\n",
       "                                联系人ID  联系人             联系人职位 公司融资情况  \n",
       "0    374c14d67194f3774eec2e54513b8585  张女士                HR    NaN  \n",
       "1    c726e532ea4d102258f331f9c8825682  曾女士                招聘  融资未公开  \n",
       "2    29bca118771ac931ceecdac8a14fc650  万女士               NaN    NaN  \n",
       "3    b980e1854062e7532a9fb47ba05cc2ce  景女士               HRD     其他  \n",
       "4    e5f91bdefcb152f9a3ddefed5f764b91  季女士                HR    NaN  \n",
       "..                                ...  ...               ...    ...  \n",
       "795  519e1c82b7a4a01061a7d63d1a613a29  彭女士              猎头顾问  融资未公开  \n",
       "796  38efdf0525f65baf51c02c8c9db847db  熊女士              HRBP    NaN  \n",
       "797  96c0c6b8652185665405000be38aeae3  李女士                人事    NaN  \n",
       "798  be5418722f87d290fe3c36d746af8c5f  范女士                HR    NaN  \n",
       "799  1672c5ed4c3709a7bd53a4227f8a3d69  徐先生  增材制造与数字系统研究中心 主任  融资未公开  \n",
       "\n",
       "[760 rows x 23 columns]"
      ]
     },
     "execution_count": 34,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "非薪资面议 = df [ ~df['薪资'].str.contains(\"面议|元/天\")]\n",
    "非薪资面议"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 35,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[['11-18k'],\n",
       " ['8-11k', '13'],\n",
       " ['6-12k'],\n",
       " ['10-15k'],\n",
       " ['10-15k'],\n",
       " ['15-25k'],\n",
       " ['8-12k'],\n",
       " ['8-13k'],\n",
       " ['7-13k'],\n",
       " ['10-20k'],\n",
       " ['10-15k', '13'],\n",
       " ['10-15k'],\n",
       " ['20-25k'],\n",
       " ['8-12k'],\n",
       " ['20-25k'],\n",
       " ['3-4k'],\n",
       " ['8-10k'],\n",
       " ['10-12k'],\n",
       " ['8-12k'],\n",
       " ['6-7k'],\n",
       " ['9-12k', '13'],\n",
       " ['20-30k'],\n",
       " ['20-25k', '13'],\n",
       " ['8-12k'],\n",
       " ['10-20k'],\n",
       " ['9-11k', '13'],\n",
       " ['10-22k'],\n",
       " ['10-12k', '13'],\n",
       " ['10-11k'],\n",
       " ['8-18k', '13'],\n",
       " ['7-10k'],\n",
       " ['4-6k'],\n",
       " ['6-10k'],\n",
       " ['18-35k', '14'],\n",
       " ['15-25k', '15'],\n",
       " ['15-20k'],\n",
       " ['8-15k', '13'],\n",
       " ['12-18k', '13'],\n",
       " ['11-18k'],\n",
       " ['8-11k', '13'],\n",
       " ['6-12k'],\n",
       " ['10-15k'],\n",
       " ['10-15k'],\n",
       " ['15-25k'],\n",
       " ['8-12k'],\n",
       " ['8-13k'],\n",
       " ['7-13k'],\n",
       " ['10-20k'],\n",
       " ['10-15k', '13'],\n",
       " ['10-15k'],\n",
       " ['20-25k'],\n",
       " ['8-12k'],\n",
       " ['20-25k'],\n",
       " ['3-4k'],\n",
       " ['8-10k'],\n",
       " ['10-12k'],\n",
       " ['8-12k'],\n",
       " ['6-7k'],\n",
       " ['9-12k', '13'],\n",
       " ['20-30k'],\n",
       " ['20-25k', '13'],\n",
       " ['8-12k'],\n",
       " ['10-20k'],\n",
       " ['9-11k', '13'],\n",
       " ['10-22k'],\n",
       " ['10-12k', '13'],\n",
       " ['10-11k'],\n",
       " ['8-18k', '13'],\n",
       " ['7-10k'],\n",
       " ['4-6k'],\n",
       " ['6-10k'],\n",
       " ['18-35k', '14'],\n",
       " ['15-25k', '15'],\n",
       " ['15-20k'],\n",
       " ['8-15k', '13'],\n",
       " ['12-18k', '13'],\n",
       " ['11-18k'],\n",
       " ['8-11k', '13'],\n",
       " ['6-12k'],\n",
       " ['10-15k'],\n",
       " ['10-15k'],\n",
       " ['15-25k'],\n",
       " ['8-12k'],\n",
       " ['8-13k'],\n",
       " ['7-13k'],\n",
       " ['10-20k'],\n",
       " ['10-15k', '13'],\n",
       " ['10-15k'],\n",
       " ['20-25k'],\n",
       " ['8-12k'],\n",
       " ['20-25k'],\n",
       " ['3-4k'],\n",
       " ['8-10k'],\n",
       " ['10-12k'],\n",
       " ['8-12k'],\n",
       " ['6-7k'],\n",
       " ['9-12k', '13'],\n",
       " ['20-30k'],\n",
       " ['20-25k', '13'],\n",
       " ['8-12k'],\n",
       " ['10-20k'],\n",
       " ['9-11k', '13'],\n",
       " ['10-22k'],\n",
       " ['10-12k', '13'],\n",
       " ['10-11k'],\n",
       " ['8-18k', '13'],\n",
       " ['7-10k'],\n",
       " ['4-6k'],\n",
       " ['6-10k'],\n",
       " ['18-35k', '14'],\n",
       " ['15-25k', '15'],\n",
       " ['15-20k'],\n",
       " ['8-15k', '13'],\n",
       " ['12-18k', '13'],\n",
       " ['11-18k'],\n",
       " ['8-11k', '13'],\n",
       " ['6-12k'],\n",
       " ['10-15k'],\n",
       " ['10-15k'],\n",
       " ['15-25k'],\n",
       " ['8-12k'],\n",
       " ['8-13k'],\n",
       " ['7-13k'],\n",
       " ['10-20k'],\n",
       " ['10-15k', '13'],\n",
       " ['10-15k'],\n",
       " ['20-25k'],\n",
       " ['8-12k'],\n",
       " ['20-25k'],\n",
       " ['3-4k'],\n",
       " ['8-10k'],\n",
       " ['10-12k'],\n",
       " ['8-12k'],\n",
       " ['6-7k'],\n",
       " ['9-12k', '13'],\n",
       " ['20-30k'],\n",
       " ['20-25k', '13'],\n",
       " ['8-12k'],\n",
       " ['10-20k'],\n",
       " ['9-11k', '13'],\n",
       " ['10-22k'],\n",
       " ['10-12k', '13'],\n",
       " ['10-11k'],\n",
       " ['8-18k', '13'],\n",
       " ['7-10k'],\n",
       " ['4-6k'],\n",
       " ['6-10k'],\n",
       " ['18-35k', '14'],\n",
       " ['15-25k', '15'],\n",
       " ['15-20k'],\n",
       " ['8-15k', '13'],\n",
       " ['12-18k', '13'],\n",
       " ['11-18k'],\n",
       " ['8-11k', '13'],\n",
       " ['6-12k'],\n",
       " ['10-15k'],\n",
       " ['10-15k'],\n",
       " ['15-25k'],\n",
       " ['8-12k'],\n",
       " ['8-13k'],\n",
       " ['7-13k'],\n",
       " ['10-20k'],\n",
       " ['10-15k', '13'],\n",
       " ['10-15k'],\n",
       " ['20-25k'],\n",
       " ['8-12k'],\n",
       " ['20-25k'],\n",
       " ['3-4k'],\n",
       " ['8-10k'],\n",
       " ['10-12k'],\n",
       " ['8-12k'],\n",
       " ['6-7k'],\n",
       " ['9-12k', '13'],\n",
       " ['20-30k'],\n",
       " ['20-25k', '13'],\n",
       " ['8-12k'],\n",
       " ['10-20k'],\n",
       " ['9-11k', '13'],\n",
       " ['10-22k'],\n",
       " ['10-12k', '13'],\n",
       " ['10-11k'],\n",
       " ['8-18k', '13'],\n",
       " ['7-10k'],\n",
       " ['4-6k'],\n",
       " ['6-10k'],\n",
       " ['18-35k', '14'],\n",
       " ['15-25k', '15'],\n",
       " ['15-20k'],\n",
       " ['8-15k', '13'],\n",
       " ['12-18k', '13'],\n",
       " ['11-18k'],\n",
       " ['8-11k', '13'],\n",
       " ['6-12k'],\n",
       " ['10-15k'],\n",
       " ['10-15k'],\n",
       " ['15-25k'],\n",
       " ['8-12k'],\n",
       " ['8-13k'],\n",
       " ['7-13k'],\n",
       " ['10-20k'],\n",
       " ['10-15k', '13'],\n",
       " ['10-15k'],\n",
       " ['20-25k'],\n",
       " ['8-12k'],\n",
       " ['20-25k'],\n",
       " ['3-4k'],\n",
       " ['8-10k'],\n",
       " ['10-12k'],\n",
       " ['8-12k'],\n",
       " ['6-7k'],\n",
       " ['9-12k', '13'],\n",
       " ['20-30k'],\n",
       " ['20-25k', '13'],\n",
       " ['8-12k'],\n",
       " ['10-20k'],\n",
       " ['9-11k', '13'],\n",
       " ['10-22k'],\n",
       " ['10-12k', '13'],\n",
       " ['10-11k'],\n",
       " ['8-18k', '13'],\n",
       " ['7-10k'],\n",
       " ['4-6k'],\n",
       " ['6-10k'],\n",
       " ['18-35k', '14'],\n",
       " ['15-25k', '15'],\n",
       " ['15-20k'],\n",
       " ['8-15k', '13'],\n",
       " ['12-18k', '13'],\n",
       " ['11-18k'],\n",
       " ['8-11k', '13'],\n",
       " ['6-12k'],\n",
       " ['10-15k'],\n",
       " ['10-15k'],\n",
       " ['15-25k'],\n",
       " ['8-12k'],\n",
       " ['8-13k'],\n",
       " ['7-13k'],\n",
       " ['10-20k'],\n",
       " ['10-15k', '13'],\n",
       " ['10-15k'],\n",
       " ['20-25k'],\n",
       " ['8-12k'],\n",
       " ['20-25k'],\n",
       " ['3-4k'],\n",
       " ['8-10k'],\n",
       " ['10-12k'],\n",
       " ['8-12k'],\n",
       " ['6-7k'],\n",
       " ['9-12k', '13'],\n",
       " ['20-30k'],\n",
       " ['20-25k', '13'],\n",
       " ['8-12k'],\n",
       " ['10-20k'],\n",
       " ['9-11k', '13'],\n",
       " ['10-22k'],\n",
       " ['10-12k', '13'],\n",
       " ['10-11k'],\n",
       " ['8-18k', '13'],\n",
       " ['7-10k'],\n",
       " ['4-6k'],\n",
       " ['6-10k'],\n",
       " ['18-35k', '14'],\n",
       " ['15-25k', '15'],\n",
       " ['15-20k'],\n",
       " ['8-15k', '13'],\n",
       " ['12-18k', '13'],\n",
       " ['11-18k'],\n",
       " ['8-11k', '13'],\n",
       " ['6-12k'],\n",
       " ['10-15k'],\n",
       " ['10-15k'],\n",
       " ['15-25k'],\n",
       " ['8-12k'],\n",
       " ['8-13k'],\n",
       " ['7-13k'],\n",
       " ['10-20k'],\n",
       " ['10-15k', '13'],\n",
       " ['10-15k'],\n",
       " ['20-25k'],\n",
       " ['8-12k'],\n",
       " ['20-25k'],\n",
       " ['3-4k'],\n",
       " ['8-10k'],\n",
       " ['10-12k'],\n",
       " ['8-12k'],\n",
       " ['6-7k'],\n",
       " ['9-12k', '13'],\n",
       " ['20-30k'],\n",
       " ['20-25k', '13'],\n",
       " ['8-12k'],\n",
       " ['10-20k'],\n",
       " ['9-11k', '13'],\n",
       " ['10-22k'],\n",
       " ['10-12k', '13'],\n",
       " ['10-11k'],\n",
       " ['8-18k', '13'],\n",
       " ['7-10k'],\n",
       " ['4-6k'],\n",
       " ['6-10k'],\n",
       " ['18-35k', '14'],\n",
       " ['15-25k', '15'],\n",
       " ['15-20k'],\n",
       " ['8-15k', '13'],\n",
       " ['12-18k', '13'],\n",
       " ['11-18k'],\n",
       " ['8-11k', '13'],\n",
       " ['6-12k'],\n",
       " ['10-15k'],\n",
       " ['10-15k'],\n",
       " ['15-25k'],\n",
       " ['8-12k'],\n",
       " ['8-13k'],\n",
       " ['7-13k'],\n",
       " ['10-20k'],\n",
       " ['10-15k', '13'],\n",
       " ['10-15k'],\n",
       " ['20-25k'],\n",
       " ['8-12k'],\n",
       " ['20-25k'],\n",
       " ['3-4k'],\n",
       " ['8-10k'],\n",
       " ['10-12k'],\n",
       " ['8-12k'],\n",
       " ['6-7k'],\n",
       " ['9-12k', '13'],\n",
       " ['20-30k'],\n",
       " ['20-25k', '13'],\n",
       " ['8-12k'],\n",
       " ['10-20k'],\n",
       " ['9-11k', '13'],\n",
       " ['10-22k'],\n",
       " ['10-12k', '13'],\n",
       " ['10-11k'],\n",
       " ['8-18k', '13'],\n",
       " ['7-10k'],\n",
       " ['4-6k'],\n",
       " ['6-10k'],\n",
       " ['18-35k', '14'],\n",
       " ['15-25k', '15'],\n",
       " ['15-20k'],\n",
       " ['8-15k', '13'],\n",
       " ['12-18k', '13'],\n",
       " ['11-18k'],\n",
       " ['8-11k', '13'],\n",
       " ['6-12k'],\n",
       " ['10-15k'],\n",
       " ['10-15k'],\n",
       " ['15-25k'],\n",
       " ['8-12k'],\n",
       " ['8-13k'],\n",
       " ['7-13k'],\n",
       " ['10-20k'],\n",
       " ['10-15k', '13'],\n",
       " ['10-15k'],\n",
       " ['20-25k'],\n",
       " ['8-12k'],\n",
       " ['20-25k'],\n",
       " ['3-4k'],\n",
       " ['8-10k'],\n",
       " ['10-12k'],\n",
       " ['8-12k'],\n",
       " ['6-7k'],\n",
       " ['9-12k', '13'],\n",
       " ['20-30k'],\n",
       " ['20-25k', '13'],\n",
       " ['8-12k'],\n",
       " ['10-20k'],\n",
       " ['9-11k', '13'],\n",
       " ['10-22k'],\n",
       " ['10-12k', '13'],\n",
       " ['10-11k'],\n",
       " ['8-18k', '13'],\n",
       " ['7-10k'],\n",
       " ['4-6k'],\n",
       " ['6-10k'],\n",
       " ['18-35k', '14'],\n",
       " ['15-25k', '15'],\n",
       " ['15-20k'],\n",
       " ['8-15k', '13'],\n",
       " ['12-18k', '13'],\n",
       " ['11-18k'],\n",
       " ['8-11k', '13'],\n",
       " ['6-12k'],\n",
       " ['10-15k'],\n",
       " ['10-15k'],\n",
       " ['15-25k'],\n",
       " ['8-12k'],\n",
       " ['8-13k'],\n",
       " ['7-13k'],\n",
       " ['10-20k'],\n",
       " ['10-15k', '13'],\n",
       " ['10-15k'],\n",
       " ['20-25k'],\n",
       " ['8-12k'],\n",
       " ['20-25k'],\n",
       " ['3-4k'],\n",
       " ['8-10k'],\n",
       " ['10-12k'],\n",
       " ['8-12k'],\n",
       " ['6-7k'],\n",
       " ['9-12k', '13'],\n",
       " ['20-30k'],\n",
       " ['20-25k', '13'],\n",
       " ['8-12k'],\n",
       " ['10-20k'],\n",
       " ['9-11k', '13'],\n",
       " ['10-22k'],\n",
       " ['10-12k', '13'],\n",
       " ['10-11k'],\n",
       " ['8-18k', '13'],\n",
       " ['7-10k'],\n",
       " ['4-6k'],\n",
       " ['6-10k'],\n",
       " ['18-35k', '14'],\n",
       " ['15-25k', '15'],\n",
       " ['15-20k'],\n",
       " ['8-15k', '13'],\n",
       " ['12-18k', '13'],\n",
       " ['11-18k'],\n",
       " ['8-11k', '13'],\n",
       " ['6-12k'],\n",
       " ['10-15k'],\n",
       " ['10-15k'],\n",
       " ['15-25k'],\n",
       " ['8-12k'],\n",
       " ['8-13k'],\n",
       " ['7-13k'],\n",
       " ['10-20k'],\n",
       " ['10-15k', '13'],\n",
       " ['10-15k'],\n",
       " ['20-25k'],\n",
       " ['8-12k'],\n",
       " ['20-25k'],\n",
       " ['3-4k'],\n",
       " ['8-10k'],\n",
       " ['10-12k'],\n",
       " ['8-12k'],\n",
       " ['6-7k'],\n",
       " ['9-12k', '13'],\n",
       " ['20-30k'],\n",
       " ['20-25k', '13'],\n",
       " ['8-12k'],\n",
       " ['10-20k'],\n",
       " ['9-11k', '13'],\n",
       " ['10-22k'],\n",
       " ['10-12k', '13'],\n",
       " ['10-11k'],\n",
       " ['8-18k', '13'],\n",
       " ['7-10k'],\n",
       " ['4-6k'],\n",
       " ['6-10k'],\n",
       " ['18-35k', '14'],\n",
       " ['15-25k', '15'],\n",
       " ['15-20k'],\n",
       " ['8-15k', '13'],\n",
       " ['12-18k', '13'],\n",
       " ['11-18k'],\n",
       " ['8-11k', '13'],\n",
       " ['6-12k'],\n",
       " ['10-15k'],\n",
       " ['10-15k'],\n",
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       " ['8-12k'],\n",
       " ['8-13k'],\n",
       " ['7-13k'],\n",
       " ['10-20k'],\n",
       " ['10-15k', '13'],\n",
       " ['10-15k'],\n",
       " ['20-25k'],\n",
       " ['8-12k'],\n",
       " ['20-25k'],\n",
       " ['3-4k'],\n",
       " ['8-10k'],\n",
       " ['10-12k'],\n",
       " ['8-12k'],\n",
       " ['6-7k'],\n",
       " ['9-12k', '13'],\n",
       " ['20-30k'],\n",
       " ['20-25k', '13'],\n",
       " ['8-12k'],\n",
       " ['10-20k'],\n",
       " ['9-11k', '13'],\n",
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       " ['10-12k', '13'],\n",
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       " ['7-10k'],\n",
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       " ['18-35k', '14'],\n",
       " ['15-25k', '15'],\n",
       " ['15-20k'],\n",
       " ['8-15k', '13'],\n",
       " ['12-18k', '13'],\n",
       " ['11-18k'],\n",
       " ['8-11k', '13'],\n",
       " ['6-12k'],\n",
       " ['10-15k'],\n",
       " ['10-15k'],\n",
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       " ['8-12k'],\n",
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       " ['10-15k', '13'],\n",
       " ['10-15k'],\n",
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       " ['9-12k', '13'],\n",
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       " ['20-25k', '13'],\n",
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       " ['10-12k', '13'],\n",
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       " ['8-18k', '13'],\n",
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       " ['6-10k'],\n",
       " ['18-35k', '14'],\n",
       " ['15-25k', '15'],\n",
       " ['15-20k'],\n",
       " ['8-15k', '13'],\n",
       " ['12-18k', '13'],\n",
       " ['11-18k'],\n",
       " ['8-11k', '13'],\n",
       " ['6-12k'],\n",
       " ['10-15k'],\n",
       " ['10-15k'],\n",
       " ['15-25k'],\n",
       " ['8-12k'],\n",
       " ['8-13k'],\n",
       " ['7-13k'],\n",
       " ['10-20k'],\n",
       " ['10-15k', '13'],\n",
       " ['10-15k'],\n",
       " ['20-25k'],\n",
       " ['8-12k'],\n",
       " ['20-25k'],\n",
       " ['3-4k'],\n",
       " ['8-10k'],\n",
       " ['10-12k'],\n",
       " ['8-12k'],\n",
       " ['6-7k'],\n",
       " ['9-12k', '13'],\n",
       " ['20-30k'],\n",
       " ['20-25k', '13'],\n",
       " ['8-12k'],\n",
       " ['10-20k'],\n",
       " ['9-11k', '13'],\n",
       " ['10-22k'],\n",
       " ['10-12k', '13'],\n",
       " ['10-11k'],\n",
       " ['8-18k', '13'],\n",
       " ['7-10k'],\n",
       " ['4-6k'],\n",
       " ['6-10k'],\n",
       " ['18-35k', '14'],\n",
       " ['15-25k', '15'],\n",
       " ['15-20k'],\n",
       " ['8-15k', '13'],\n",
       " ['12-18k', '13'],\n",
       " ['11-18k'],\n",
       " ['8-11k', '13'],\n",
       " ['6-12k'],\n",
       " ['10-15k'],\n",
       " ['10-15k'],\n",
       " ['15-25k'],\n",
       " ['8-12k'],\n",
       " ['8-13k'],\n",
       " ['7-13k'],\n",
       " ['10-20k'],\n",
       " ['10-15k', '13'],\n",
       " ['10-15k'],\n",
       " ['20-25k'],\n",
       " ['8-12k'],\n",
       " ['20-25k'],\n",
       " ['3-4k'],\n",
       " ['8-10k'],\n",
       " ['10-12k'],\n",
       " ['8-12k'],\n",
       " ['6-7k'],\n",
       " ['9-12k', '13'],\n",
       " ['20-30k'],\n",
       " ['20-25k', '13'],\n",
       " ['8-12k'],\n",
       " ['10-20k'],\n",
       " ['9-11k', '13'],\n",
       " ['10-22k'],\n",
       " ['10-12k', '13'],\n",
       " ['10-11k'],\n",
       " ['8-18k', '13'],\n",
       " ['7-10k'],\n",
       " ['4-6k'],\n",
       " ['6-10k'],\n",
       " ['18-35k', '14'],\n",
       " ['15-25k', '15'],\n",
       " ['15-20k'],\n",
       " ['8-15k', '13'],\n",
       " ['12-18k', '13'],\n",
       " ['11-18k'],\n",
       " ['8-11k', '13'],\n",
       " ['6-12k'],\n",
       " ['10-15k'],\n",
       " ['10-15k'],\n",
       " ['15-25k'],\n",
       " ['8-12k'],\n",
       " ['8-13k'],\n",
       " ['7-13k'],\n",
       " ['10-20k'],\n",
       " ['10-15k', '13'],\n",
       " ['10-15k'],\n",
       " ['20-25k'],\n",
       " ['8-12k'],\n",
       " ['20-25k'],\n",
       " ['3-4k'],\n",
       " ['8-10k'],\n",
       " ['10-12k'],\n",
       " ['8-12k'],\n",
       " ['6-7k'],\n",
       " ['9-12k', '13'],\n",
       " ['20-30k'],\n",
       " ['20-25k', '13'],\n",
       " ['8-12k'],\n",
       " ['10-20k'],\n",
       " ['9-11k', '13'],\n",
       " ['10-22k'],\n",
       " ['10-12k', '13'],\n",
       " ['10-11k'],\n",
       " ['8-18k', '13'],\n",
       " ['7-10k'],\n",
       " ['4-6k'],\n",
       " ['6-10k'],\n",
       " ['18-35k', '14'],\n",
       " ['15-25k', '15'],\n",
       " ['15-20k'],\n",
       " ['8-15k', '13'],\n",
       " ['12-18k', '13'],\n",
       " ['11-18k'],\n",
       " ['8-11k', '13'],\n",
       " ['6-12k'],\n",
       " ['10-15k'],\n",
       " ['10-15k'],\n",
       " ['15-25k'],\n",
       " ['8-12k'],\n",
       " ['8-13k'],\n",
       " ['7-13k'],\n",
       " ['10-20k'],\n",
       " ['10-15k', '13'],\n",
       " ['10-15k'],\n",
       " ['20-25k'],\n",
       " ['8-12k'],\n",
       " ['20-25k'],\n",
       " ['3-4k'],\n",
       " ['8-10k'],\n",
       " ['10-12k'],\n",
       " ['8-12k'],\n",
       " ['6-7k'],\n",
       " ['9-12k', '13'],\n",
       " ['20-30k'],\n",
       " ['20-25k', '13'],\n",
       " ['8-12k'],\n",
       " ['10-20k'],\n",
       " ['9-11k', '13'],\n",
       " ['10-22k'],\n",
       " ['10-12k', '13'],\n",
       " ['10-11k'],\n",
       " ['8-18k', '13'],\n",
       " ['7-10k'],\n",
       " ['4-6k'],\n",
       " ['6-10k'],\n",
       " ['18-35k', '14'],\n",
       " ['15-25k', '15'],\n",
       " ['15-20k'],\n",
       " ['8-15k', '13'],\n",
       " ['12-18k', '13'],\n",
       " ['11-18k'],\n",
       " ['8-11k', '13'],\n",
       " ['6-12k'],\n",
       " ['10-15k'],\n",
       " ['10-15k'],\n",
       " ['15-25k'],\n",
       " ['8-12k'],\n",
       " ['8-13k'],\n",
       " ['7-13k'],\n",
       " ['10-20k'],\n",
       " ['10-15k', '13'],\n",
       " ['10-15k'],\n",
       " ['20-25k'],\n",
       " ['8-12k'],\n",
       " ['20-25k'],\n",
       " ['3-4k'],\n",
       " ['8-10k'],\n",
       " ['10-12k'],\n",
       " ['8-12k'],\n",
       " ['6-7k'],\n",
       " ['9-12k', '13'],\n",
       " ['20-30k'],\n",
       " ['20-25k', '13'],\n",
       " ['8-12k'],\n",
       " ['10-20k'],\n",
       " ['9-11k', '13'],\n",
       " ['10-22k'],\n",
       " ['10-12k', '13'],\n",
       " ['10-11k'],\n",
       " ['8-18k', '13'],\n",
       " ['7-10k'],\n",
       " ['4-6k'],\n",
       " ['6-10k'],\n",
       " ['18-35k', '14'],\n",
       " ['15-25k', '15'],\n",
       " ['15-20k'],\n",
       " ['8-15k', '13'],\n",
       " ['12-18k', '13'],\n",
       " ['11-18k'],\n",
       " ['8-11k', '13'],\n",
       " ['6-12k'],\n",
       " ['10-15k'],\n",
       " ['10-15k'],\n",
       " ['15-25k'],\n",
       " ['8-12k'],\n",
       " ['8-13k'],\n",
       " ['7-13k'],\n",
       " ['10-20k'],\n",
       " ['10-15k', '13'],\n",
       " ['10-15k'],\n",
       " ['20-25k'],\n",
       " ['8-12k'],\n",
       " ['20-25k'],\n",
       " ['3-4k'],\n",
       " ['8-10k'],\n",
       " ['10-12k'],\n",
       " ['8-12k'],\n",
       " ['6-7k'],\n",
       " ['9-12k', '13'],\n",
       " ['20-30k'],\n",
       " ['20-25k', '13'],\n",
       " ['8-12k'],\n",
       " ['10-20k'],\n",
       " ['9-11k', '13'],\n",
       " ['10-22k'],\n",
       " ['10-12k', '13'],\n",
       " ['10-11k'],\n",
       " ['8-18k', '13'],\n",
       " ['7-10k'],\n",
       " ['4-6k'],\n",
       " ['6-10k'],\n",
       " ['18-35k', '14'],\n",
       " ['15-25k', '15'],\n",
       " ['15-20k'],\n",
       " ['8-15k', '13'],\n",
       " ['12-18k', '13']]"
      ]
     },
     "execution_count": 35,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "非薪资面议_detail = 非薪资面议['薪资'].apply(lambda x:x.split('薪')[0].split('·')).tolist()\n",
    "非薪资面议_detail"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 36,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       " 16.2]"
      ]
     },
     "execution_count": 36,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "平均薪资 = [ (int(i[0].split('-')[0]) +int(i[0].split('-')[1].split('k')[0]))/2    \\\n",
    " if len(i)==1 else round((int(i[0].split('-')[0]) +int(i[0].split('-')[1].split('k')[0]))/2*int(i[1])/12,1)     \\\n",
    " for i in 非薪资面议_detail        ]\n",
    "平均薪资"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 37,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "C:\\Users\\Lenovo\\AppData\\Local\\Temp\\ipykernel_16104\\777353287.py:1: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame.\n",
      "Try using .loc[row_indexer,col_indexer] = value instead\n",
      "\n",
      "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "  非薪资面议['平均薪资']=平均薪资\n"
     ]
    }
   ],
   "source": [
    "非薪资面议['平均薪资']=平均薪资"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 38,
   "metadata": {},
   "outputs": [],
   "source": [
    "分地区_平均薪资 = 非薪资面议.groupby('地区').agg({'平均薪资':'median'})\n",
    "分地区_平均薪资[1:].to_excel('上海_平均薪资.xlsx')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 44,
   "metadata": {},
   "outputs": [
    {
     "data": {
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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "import pandas as pd\n",
    "import matplotlib.pyplot as plt\n",
    "\n",
    "# 读取Excel文件\n",
    "file_path = '深圳_平均薪资.xlsx'  # 替换为你的Excel文件路径\n",
    "sheet_name = 'Sheet1'  # 替换为你的工作表名称\n",
    "column_name = '平均薪资'  # 替换为你想要绘制折线图的列名\n",
    "\n",
    "# 读取工作表数据并设置行名为索引\n",
    "df = pd.read_excel(file_path, sheet_name=sheet_name)\n",
    "df.set_index(df.columns[0], inplace=True)\n",
    "\n",
    "# 绘制折线图\n",
    "ax = df[column_name].plot()\n",
    "ax.set_xlabel('地区')\n",
    "ax.set_ylabel(column_name)\n",
    "ax.set_title(f'{column_name} Line Chart')\n",
    "\n",
    "# 保存图形为文件\n",
    "plt.savefig('深圳_平均薪资_折现图.png')  # 将图形保存为PNG格式的文件，可以根据需要更改文件名和格式\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3 (ipykernel)",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.9.12"
  },
  "toc": {
   "base_numbering": 1,
   "nav_menu": {},
   "number_sections": true,
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